Good evening, everyone. Can you guys hear me in the back? I'll take that as a yes No, I Think this is probably the best I can do here. So What is the talk about revolutionizing travel through data In this session, I think what I'm trying to cover is how we actually use data within the travel industry what kind of decisions we make based on that and in turn it actually tells us what to build and what not to build right and The way I'm trying to tell the story here is so we at orbit started using big data in 2009 so we went through multiple iterations of Technology platform and with each platform came a lot of use cases that we actually solved and In the process we tried to leverage a lot of the analytics concept here So by the way, I'm Raghu Kashyap My two kids were pretty excited to see that they could actually find a child beer in India so I I've been with orbits a little over 10 years now. I'm from a tech background so I help support the technology platform for orbits worldwide and Also the application development side of the world. So last two years. We've been in orbits India So we've been Working on both the data platforms and the application development So by the rays of hands, who's heard about orbits? All right, quite a few of them good. So we are not the gum company. Absolutely not We are not the drink company. Although we bought the naming rights from them So that's an interesting story there and lastly, this is very specific to Bangalore There are actually another company called orbits in cunning ambrose. So it was quite interesting recently Somebody actually ended up in cunning ambrose instead of mg road. So that's not us So what we do we are an online travel agency, right? We sell air car hotel packages insurance travel extras attraction services. You name it, right? And we have multiple brands throughout the world. We are actually one of the top three travel agency in the world So you have Expedia price line and orbits and orbits is predominantly in North America But we are we have a presence in Europe and Asia Pacific We actually have a lot of other Business units that we work with not just the travel leisure sites, right? So what have we been doing in the industry What have we been contributing back to the community? I think at orbits We use a lot of open source and we actually give it back to the community so obviously some of the authors of these books work at orbits and We also presented a lot of the conferences in US and Europe Europe so the interesting thing is there are two things that we actually open sourced which is more of a data platform One is called graphite the other one is called Irma Irma stands for extremely reusable monitoring API So it's mostly you use for your monitoring applications and the visualization that comes through the graphite tool So why is travel important? I mean as you guys I mean I'm sure a lot of you guys travel, right? So as you travel you see a lot of options available out there whether to book search Places to stay places to go. So if you really look at the industry, right? this is the fastest growing sector in the industry and The numbers clearly shows that like the travel alone is around 2.3 trillion dollars, right? US dollars and the impact travel has on the overall economy is close to these 7.5 trillion dollars now. How does this relate to my talk here, right as the scale is big So is the data that comes with it, right and we have tons and tons of data that comes as part of this Internal data external data. We actually buy data. So it's a combination of a lot of things So what was some of the challenges we actually face, right? I mean most of you guys have faced similar problems I'm sure and today we've had some really great presentations a lot of them are trying to solve similar problems similar technology But for us we actually face the same problems six seven years ago, right? So the data sets that we used was not as big as to how we would leverage it The multi-dimensional aspect of the data that was another challenge for us So you must have heard some of the site analytics data, right our tools Google analytics site up site catalyst Web trends so most of the companies use this right, but there are a lot of limitations with that And that's just the site analytics data So if I ask you somebody or if you ask you guys saying what might be the conversion ratio or conversion rate for Travel bookings in general What would you guys guess as what percentage is it? any takers One five actually you guys are pretty close. It's actually 3% So think about the 97% of the customers who don't book that is where the optimization is, right? The 3% know you guys they want to travel they want to buy so they actually bought with you but where you can really leverage data and Where you can actually really optimize it is the 97% of the people you don't know why they left You don't know why they didn't buy you don't know what their mindset is So that is what you want to really tap into and that's exactly what we've been doing for the last seven years, right? And the other problem we had was sort of a controlled environment I'm sure you guys have heard about BI data warehouse a lot of organizations use this and certain places it's harder because you have a very strict controlled environment and It's harder to get to data and you need set of people that you want to use to do certain things So that was another challenge. We actually had and last thing last but not the least its speed, right? for us or for any online company the speed at which you need to make a decision is Pretty quick, right? That's what you want to look at So if you launch something today, you want to know in the next hour whether it's working or not You don't want to wait for three months or six months and those were some of the challenges. We actually faced So we actually went through our first iteration of Hadoop platform. This was in 2009, right? So I'm sure this is a common theme that most of the people have used Initially where you take a lot of the raw data put it in your HDFS You do your parsing whether it's map reduce or pig or whatever it is you dump it into your hive data warehouse and then you actually take it and put it in your actual warehouse, right? That's pretty much what we did. There is nothing different here So when we did this there were a lot of things that we were able to leverage, right? Even though it was the initial iteration for us We actually called it Owlitex 1.0 So there were a lot of things that we were able to tap into this architecture So the next few set of slides what I want to walk through is what are the use cases that we were able to solve? Using this platform and what were the insights we got and how did we leverage analytics on top of that? so lifetime value right I mean this is one of the Critical indicator that any online travel or even offline for that matter would love to understand better Right, and if you know better customer is the king, right? I mean you want to please your customer at all the time Gone are those days where you don't treat your customers well? You don't treat your customers. Well, they're gonna go somewhere else, right? So you really need to understand your customer. Well, so what we really did was we focused on acquisition Retention so acquisition means where are we getting these customers from in online marketing? There are multiple channels where we actually get them from right and Retention is that okay, so how are we retaining our customers? Are they coming back to us? Are they not coming back to us? Why are they not coming back to us? So all these questions we would need to answer so what we really did was we took a lot of Attributes related to the customer for example the channel where they came from How long they were on our sites? How soon did they return when was their first purchase made what channel was the first purchase made? So you take all these attributes or X variables and build your regression model out there, right? And when you do that you associate a value to a customer That's the customer lifetime value and the way we associate the value is in dollars, right? You can take it as five dollars ten dollars fifteen dollars whatever it is so now what we were able to do with this is We have call centers where customers call right? So you look at the tiers of these customers and route them according to that through your IVR system That's one aspect of it. The other aspect of it is you you tend to promote a lot of things with these customers whether it's coupons Promotions so because you know these are the guys who are very loyal to you and the third aspect is loyalty right for us as orbits We are very focused on loyalty. So one of the things we do is called or bucks right you book hotel car air You certain percentage of that is given back to you as points or or bucks and which you can use for your future travels So these are some of the aspects of it. We were able to derive Based on the lifetime value of the customers So I thought briefly about channel, right? Have you guys heard what a marketing channel is? Yes, yes, okay. Let me let me just give a 10-second intro to marketing channel, right? So you have a co You have our PPC which is paper click So you go to Google you search at the top and at the right you get results in a different color, right? Those are paid advertising that we call PPC then in Direct is somebody who comes to your site directly You have display channels where you look at let's say you go to CNN comm or you go to Mentor comm you see ads for us. Those are the display channels So there are like eight or different ten channels where we will have to optimize it, right? So allocation of Bookings to a channel is a huge deal for us because any online industry Almost fifty percent or more than fifty percent of your spend is on marketing Okay, and if you don't allocate it properly, you won't know what's your revenue per click You don't know what's your revenue per customer, right? So that's why attribution matters a lot for us So there were a lot of models we play around with last click first click equal attribution time decay So you take every customer and you look at what channels are they coming from you try to play around different Kinds of algorithm in terms of which channels should get the credit for right because in the end based on that We decide whether we want to spend more here or less here that matters a lot in our marketing So this is an interesting use case for us mind you this was done in 2010. I think Most of you people are aware that people with Mac spend more money than with people with Windows It is an evident truth, right? What we did was we took it to the next level. We tried to figure out how does it impact travel, right? So we really tried to analyze how the behavior is between users using a Mac versus of Windows, right? And what we actually came out was pretty interesting people with Mac tend to book a higher rating hotels and They prefer a lot of hotel amenities that are very Luxurious, okay, so you look at hotel amenity for example, they want to have a poolside view They want to have free Wi-Fi. They want to have lots of aspect proximity, right? Those are the things they look at so what we did was we actually tried to play around with the sort results, right? When you do a hotel search you want to show them what they want to see rather than Showing a generic result that everybody gets to see right so this way you are Personalizing a little bit more and the second thing we did was Sorry, the second thing was more around the recommendation engine, right? So you take the same attributes you understand your customer and you actually recommend them based on Their likings so these are some of the things that were Pretty amazing when we initially saw that But it is it is consistent in how the behavior is actually and and in fact this one was interesting because this really let The personalization aspect of our site we do a lot of personalization based on the machine learning And so what we do is we take the data we build algorithm We eventually funnel that back into our applications through real-time systems EFX so every freakin X If you know statistics X variables matter a lot right so you want to consider as Many X variables as possible to really derive your models so for us hotel sorting is everything right? I mean there is a saying where The thing goes like this, right? I mean where do you hide a dead body? And the second page of the Google results Right so nobody goes to the second page. That's exactly the same concept for us in hotel, right? Everybody wants to see the results in the first page not just the results Relevant results to them, right? So for that we actually spent a lot of time trying to understand How do we want to place our hotels? Where do you want to place it? How do you want to sort it? So we do premium placement. We do Enhanced value sort a lot of different ways. We actually do it So what we did was we took all these factors in we started building regression model around this, right? So we figured that for us between 3 and 5 was where most of the sort results were booked or even clicked for that matter So based on this what our revenue management teams do is they actually play around the The settings of the sort in real time. So there is an application which actually Does these analysis and pumps the data back enough to the revenue management team which actually in real time? They change and play around the triggers for this So predicting hotel stay that's another Interesting topic for us, right? So by the way this one is actually Chicago lecture drive This was the winter of 2012, right? Everything came to a complete standstill the reason I have this one and actually the Super Bowl is it matters on the stage because when you look at how people book How how they prefer to book or how there's a concept of advance purchase window and an advanced search window, right? How far in a head people search for it? and usually it's anywhere between 15 to 60 days, right? So you want to figure out, okay? so you want to figure out what day of the week it matters a lot and What time it matters a lot what kind of sorting rate ratings that matters a lot So the interesting thing about this is on this day when there was a snowstorm The same day bookings skyrocketed, right? Everybody didn't know where to go. They left their cars in the road like this. They actually took their mobile Booked a hotel close by walk to the hotel This is why it's very important for us to figure out the weather data into the picture So we pull in a lot of weather data to analyze the seasonality and figure out how people stay or what is the Potential pattern of people staying there And obviously the location matters, right? So Those are some of the business use cases right in the first iteration We also built like one or two tools that really helps us Are more rather helps the developers more in terms of their operations and development So one such tool we actually built was called business monitoring tool So I don't know if anybody recognizes this application, but that's actually click view Which is an in-memory visualization tool so what we did was we hooked up click view directly to our hive system and What we did was before the hive system there were map reduced jobs, which would actually run Algorithms to really figure out the blended rates of our error So what they would do is they like every site has errors, right? I mean you do a search it fails you you try to book it fails We categories them into different error buckets The reason we do that is these error buckets has are the blended rates has Monetary value so to it associated with it So you want to go fix the first one that impacts your revenue the most right for example if the color is different and There is another bug where the bookings are failing. Obviously you would Prioritize the booking failure first right so we did this as a overall blended rate margin which kind of buckets like Thousand plus errors that we get from different operations mind you our system depends a lot on third-party systems, right? GDS is I don't know if you guys I'm sure you guys have heard about Amadeus Apollo Galileo These are all GDS is right our systems depend a lot on these systems and these systems are built on Mainframe so you can imagine their systems and the complexities that involves to work with these systems What else all right there is another tool that we actually built out this is actually where we leverage flume so One of the things that we used I would probably say around 2006 or 7 was Plunk and now Splunk is Pretty good. It wasn't as good at that point of time So we used Plunk for two years and we figured out There were a lot of issues with that and it really didn't scale up to what we had with the data and everything So we actually what we did was we we funneled all our application logs So we use we used to use JBoss container at that time now we use actually Tomcat So we used to funnel all the container logs of the application server logs into Hadoop directly through flume and We actually did it in two pipes one went into hive Sorry HDFS and the other one actually went into H base. So with H base as you are aware You're gonna structure it a little bit better Compared to HDFS. So we built. I mean, this is the most ugliest UI you would probably ever see But it did the job right and as a developer you want to find out something wrong in production You would go look at it. It will run a map reduce job get you what you need boom. You're done The other thing we actually which I don't have here is we also built something called another tool But that was much faster because we indexed it and we indexed it only for the first six hours Because if you're troubleshooting a production issue, you don't want to wait for the map reduce job to complete You want it much faster than that, right? So that tool would give you data only for the six hours, but that will get the job done when there is a crisis going on So what did we learn from our first iteration, right? There were a lot of things we learned from our first iteration one is we kind of decentralized this model where Every development team had access to this they would go do their own analysis They would go do do their own visualization We called it the decentralized model, right? But then the challenges that came along with that was Basically, it's harder to scale. I mean you can't really scale with that approach. I mean somebody will use Maybe Kafka or somebody will use something else. It's really harder to scale So the second problem we saw was data governance, right? data governance is Absolutely critical when you deal with data because what it means to you It means something else for somebody then you lost the whole purpose of how you deal with data here That's a huge problem when you're looking at let's simple simple example is conversion, right? So we have around four five different brands and Probably around 30 different websites each of these guys when they say conversion ratio would mean something else for them and As a leader it would get really hard for them to oversee the overall business that is why data governance is very important and that's one of the challenges we saw and the scalability our first version Was interesting because we we had an FTP server sitting on our desk which would actually hold terabytes worth of data and There was no backup. There was no Redundancy failure. There was nothing right and if this guy Forgets and plugs the thing out then done. We don't have access to data So there were a lot of problems with that. So what we really did was okay So we we did one version and we said that okay, let's go to version number two and we're gonna do a little bit more Put some thought into that Would say we said, okay, so what is your foundation, right? Your foundation is mostly your data infrastructure and then what do you do after that? So you want to do descriptive analytics descriptive analytics is nothing but building reports You want to see what happened yesterday? You want to see what happened this month this week last month everything then you talk about predictive analytics, right? Okay, now, you know what happened all this while. Let me try to figure out what will happen next that is all about predictive analytics Then comes your machine learning, right? With machine the key difference with predictive and machine learning with predictive analytics It's all the analysts sitting in our organization running models and regression analysis but with machine learning what we do is we do the same thing but we actually Let the machine learn through the process we keep feeding more data to it And that's kind of how we saw the vision of what we want to take this data into the next step, right? This is actually an interesting tree map of our cluster So we have a script that actually generates this tree map for us But it's interesting because every time we run into an 80% threshold that's when we start thinking saying that hey we need to add more nodes and We add it and we kind of publish the next tree node out there. So the current cluster is Roughly around four petabytes. I would say But that's kind of where we are so right now we're in the process of moving from a four terabyte disk space to a six terabyte disk space and Bumping up from 128 to 256 gigabytes. So that's kind of what we are thinking through So the next set of few slides talks about the use cases that we solved with iteration 2 or version 2, right? So this is actually a public-facing website. You guys can go check it out What we try to do is we try to help travelers. We try to give them as much information as possible All right to do this we actually do a lot of analysis and publish it out so that people can make Informed decision in terms of where they want to travel what they want to do It's sort of like a research but helping with the data rate, right? So we build this tool which kind of does a lot of things one of the thing is city recommendations which basically says hey I want us I live in Bangalore. I want to go see what's the close by where I want to visit or maybe I'm in San Francisco I want to go see something close by so that's kind of kind of a algorithm That's built out to really leverage a lot of the data that we have to give this in the hand of customers So SEO SEO is search engine optimization, right? So you go search a keyword on Google The chances are you're always clicking on the first link. Why is that because it's SEO optimized? Well, you are getting the relevant content of what you need for us It's a huge deal because like I said earlier 60% of our spend is on marketing So we always want to pay attention to the paid Channels first where you pay money? SEO is free, right? I mean people argue it's not free, but for all practical debate. It's free So we want to understand how do we basically Talk about SEO which is more about kind of giving the credit to SEO Where it's due so that we can actually invest more in SEO, right? So one of the things we did was this called multi-touch, right? So you you look at your channels you look through the journey of one to 30 days By the way, that's an Indian industry standard where people look at 30 days for channels So you look at that and you try to figure out, okay, how much traffic am I attributing to SEO? That's one step But the second step really is to figure out what is the influence of SEO on the other channels now? We are able to actually show a lot more value to SEO which kind of Justifies why we spend more on SEO so Like I talked about GDS is where we have a lot of dependency and third-party systems One of the things that we are contractually obligated both monetarily and contract-wise is look-to-book ratio, right?  We have to be very careful on look-to-book ratio. Otherwise, we end up spending a lot of money or paying them as penalty So we cash a lot of our results our data within our house So now once you start cashing it you need to understand, okay, how do you optimize your cash, right? You don't want to just say okay after eight hours just Recycle the cash So what we did was we did a survival analysis of the cash for hotels We broke it down into two markets or rather two groups A and B and Each market we put or each group we put eight markets when I say markets its city for hotel, whatever and then we started kind of fine-tuning the Test group, right? So you have a test group and a control group So when you start finding the test group or the control group then you really see how you can optimize or you find that sweet spot For your TTL, which is time to leave right with survival analysis it's it's more about when does the event occur and that's when you figure out you want to change the cash or not and Based on this we were actually able to maintain our look-to-book ratio on a pretty steady level without impacting our Cash-it ratio and the search results that come out here Keywords right this is another area where we spend a lot of money every Organization online organization spend money on bidding basically we all pump money to Google. That's how it is, right? And and with SEO and SCM pretty much you sell your soul to Google. That's how it is So Keywords right you want to bid for keywords where it makes sense where people click on that keyword and come to your site Otherwise, it's a waste of money, right? So you really try to target this one. This is called the long tail Right. This is where your high probability of conversion is and that's because not everybody's bidding here Right, but if you go here The conversion ratio is less and the competition is too high everybody simple example is Cheap hotels, right? That's pretty much here That's pretty much there because everybody wants to bid for cheap hotels and when I say everybody the all online travel companies I'm talking about But when you go here, right? You want to say, okay? I want to search for I don't know maybe native village in Hesargata, right? That's the long tail keyword because not everybody might bid here so your Opportunity of identifying a customer who is actually looking for something what he wants and the chances of conversion is higher here So that's kind of what is important that we really leverage both from a conversion ratio perspective And also a spend ratio perspective.  Typically, it's always losing money rather than getting money back in a CM So all right The next iteration of our technology platform, right? So now we had okay pretty sturdy Hadoop infrastructure We had a pretty sturdy Analytics framework data governance was being addressed even though it's still not addressed completely But we were in the right path of our vision, right? Then we started talking about real-time So all these Hadoop jobs are pretty cool because you get what you want, but they're all batch processes So how do you really look at real-time and what do you do to get to the real-time? So there are multiple things that we tried out. I'm gonna talk about one use case here So we actually use AWS and Redshift So there were two use cases we were trying to go after one was landing page optimization And the other one was again, I think it was a little bit more about improvement from our old Tool that we built for logs. So what we did was we use Redshift and AWS to really figure out Okay, let if we roll out a landing page Let's say we build a new page and we put it on the site. We want to see immediately how it's performing So the that framework basically kind of gives us So that that this redshift and AWS kind of gave us that real-time capabilities of how we Build or look at things the other case we were trying to get out of this Which we actually were able to get out is campaign analysis So every time you want to do promotions you want to do campaigns you want to see immediately how it's performing, right? There are a lot of things that gets tied together your revenue your spend your Customers the visits everything so you want to see that in real time These are the two big use cases where you want to see things in real time other than the operations part of it, right? When when people say real-time analytics You really need to go back and ask them the question.  Business folks cannot perform in real-time. It's hard for them to change their strategy change their Tactical initiatives or whatever it is, right? So they always look at previous days data But there are tons of use cases where you need real-time data and that's what we were actually trying to get to with this With this so I Think what what I really wanted to convey in this session other than the use cases and how we actually iterated through all the Platforms that we built out was the first and the foremost, right? No matter how cool your technology sounds, right? Hadoop Kafka you talk about lens everything you don't use this data. You might as well take it and throw it in a dump That's basically the message, right? You have to leverage it to make your business decisions or to change Your business so that you can actually benefit from it. So that's basically the lesson number one the second one is Early in the game, right? Figure out what your strategy is what your vision is in terms of your data platform How you're gonna leverage is what you're gonna do it stick to it, but be agile Change through the process, right? I mean you saw as we went through three iterations We are still going through a lot of iterations. Don't get hung up on saying that. Hey, I invested here I have to continue investing it fail fast. That's very important the last one, right? I mean, this is the most trickiest one where I'm sure a lot of sales people will be very happy build versus buy You have to make a right decision when to big build when to buy you don't you want to stick to your core business, right? You don't want to go build something which is not your core business I mean it is pretty cool to build it But in if the returns are not justifiable you need to figure out build versus buy So that's pretty much the story at orbits, which I wanted to share with you guys And if you have any questions, I can take it. I know it's a long day for everybody people are tired I can also stay back to answer a few questions if you have any Thanks for the talk My question is about Mainly the hotel industry uses two types of business one is the group and other is a transient business The thing that I talked of Search and bookings happening between 15 to 60 days in advance That is mostly for transient business the group business happens way in advance What's the other business you said group business business that is a qualified business. Yeah. Yeah, so Is there any way orbits uses this information because group in business probably would not happen through orbits only the Non-corporate customers would be booking through Orbit, can you give me an example of group business what you're talking about because I know what you're talking about I just I just want to understand what group business, right? So let's say I'm having an MIDC area and I'm having a Hotel which is close by to that So all the companies in that area make a contract with my hotel saying that if if we give you a certain number of Bookings in a year. You're gonna give us a discount, but those bookings happen really in advance They are like planned visits of customers and stuff. So those bookings probably won't go through orbits But they're going to affect the number of bookings that come through orbits because finally they're going to Refer to a constraint capacity constraint of the hotel itself Okay, so there are there are two pieces to this right one most of the talk I did was more around the leisure business.  We also separate corporate bookings We also separate affiliate bookings like a simple example is American Express, right? If you go to American Express and try to book something you don't know But everything behind the scene is actually orbits platform. So all those bookings flow through us So for us, it's it's a matter of our own data plus all the external data that we actually try to type Right because one of the key concept of analytics is competitive intelligence Let's say you're growing at 5% and you feel really good saying compared to last year I'm growing at 5% but if you look at the industry You're actually at the bottom people are growing at 20% right you got to do that competitive intelligence There are a lot of data sets that we buy actually Which kind of gives us the competitive intelligence which we use a lot of those things to decide how we do and what we do things Right and sometimes hotels also do their own forecasting and optimization of prices. So do you? Give this data back to the hotel saying that for the next 60 days. There are a lot of We do we definitely do actually so one of the things we do with all our partners hotels airlines is we actually tell them saying that hey This is how your hotel is performing because they need an incentive to give us a better rate That is an natural way of negotiating better prices, right? So we pump a lot of data back to these partners Yeah, whether it's airlines or hotels to show them how they are actually performing or not just performing by bookings Right. We are talking about where are the customers coming who are actually booking your hotels? What kind of amenities that they like in your hotel? We kind of give a very elaborate Thanks, I have one question Yeah, I will upload the slides. Yes. I have one question.  The segmentation part of it see there are a multiple ways we do segmentation of data, right? So when you're talking about just the are you talking about the hotel stay or the occupancy or which one are you talking about? The occupancy basically right so the way in travel industry We segment is multiple ways depends on the brand simple example is one of our brand is orbits.com, right? We are predominantly in us, right for us looking by country as a segment makes no sense So we drill down to buy city by market But on the other hand we have another brand called hotelclub.com for them They operate in all of Asia Pacific including India, right for them country matters a lot So depending on the brand we do a lot of segmentation. So we do market segmentation. We do basically channel segmentation We do basically the CLTV segmentation saying that hey, are they tiered customer non-tiered customer? Where do they fall? So they're like, I don't know maybe n number of segmentation that we use actually How did you arrive demand forecasting? I'm sorry demand forecast. So demand forecasting is a pretty interesting topic when you say forecasting Is it the visits forecasting or the booking forecasting? So booking forecasting is pretty easy for us because there are multiple things you look at you look at seasonality You look at the industry. Okay, you look at our past history and you look at all our future roadmap And you tie them.  So unfortunately, we don't apply these Thing in a wider scale. So it's it's in a closed because it's a pretty confidential stuff So it's a closed group which where they do all these kind of forecasting But they take all these aspects of it not just what we have even outside. It's like simple example, right? So today and tomorrow and after is fifth elephant We take things like this into considerance to figure out What is the hotel occupancy around Bangalore because people are traveling up from outside So there are a lot of factors we consider that exactly So click we are in high with something we did in 2010 I think or 2011 I would say There are pros and cons with that if you go back in history from 2009 to let's say 2012 2013 There are not too many visualization tools that really support Hadoop. I mean even today for that matter, right? So click view is something it can connect to any database, right? So we actually used thrift And regular JDBC connection to connect to hive Yeah, directly through hive You should send me a note. I'll tell you how to do it Yeah, I have a question No, no, so I told you we have a GDS think about GDS as a database, but not in our control. It's outside, right? Lot of people have access to this database not just as Expedia price line named 20,000 websites When we search something we want to get inventory, right? See these are all inventory that we don't own It's owned by airlines it owned by the hotels GDS are the common place where everybody files their ratings So we basically go to GDS and say hey, give me the results for hotels for this city for these dates When we do that, we are doing a look to them, right? Let's say I do 1000 looks today and I do zero bookings the look to book ratio is pretty bad there That is why we optimize it by cashing a lot of things in our thing But when you cash anything right forget hotels you have to optimize the TTL If you don't optimize your TTL, then the whole point of cash is lost there That is what we use survival analysis to optimize that. Yeah, I have two questions one question is about When you try to personalize what are the first initial two to three features which you try to personalize Mac was definitely the first one Okay, and second question I had was about you said about you are purchasing Outside data sets right so can you tell us so what are the data sets? So there are a lot of data sets that are available that you can purchase Some of the data sets that we've used is whether data you can purchase that there's something called walk score You can purchase that walk score is very simple, right? you you look at a hotel and It considers a lot of attributes and calculates the proximity from the hotel like how close is it to the highway? What are the movie restaurant? What are the restaurants around or the movie theater it comes up with a score for that hotel so we use that data and then We've used a lot of third-party data which is specific to marketing channels But these are some of the external data that we have obviously social data, right? I mean you have Facebook, Twitter, YouTube. You've been speaking about Seasonality effect, right? So basically it is a context external context that you're feeding into your recommendations Yeah, absolutely. I mean that's You heard the answer I give this guy who's sitting here is competitive intelligence is very important for us because if I don't understand the Seasonality I can't forecast and I can't optimize anything So we we actually look at a lot of season there are a lot of industry that publishes these kind of data right in US especially The beginning of the year they publish all the conference status. So you know Las Vegas is a conference hub You want to optimize your hotels in Las Vegas? So you are gonna consider all those things what you do is you're gonna say hey in March There are these conferences which are very popular. Let's go negotiate better fairs with these hoteliers there Let's go grab some inventory with these hoteliers. So those are the optimization at the runtime I'm asking about from the implementation perspective. How do you feed in this data to your model? How do we feed this data into the model? Yeah, the context and there are there are two ways one we do offline one is sort of an online Which is what feeds into your personalization, correct? But most of the things that you asked is all offline because you can't really take that and it doesn't change every day, right? So you mentioned something about predictive analysis and machine learning at the top of the pyramid Personalization was one of the use cases personalization How do you perform with so much data at your hand? How do you perform machine learning at that scale? So we we actually the if you remember my first iteration there We had something called a decentralized model, right? So we have like our tech team is around I'll probably say around fine. Do we have to cut off? Yeah, please come down. It's anyways like a personal discussion here. Thank you


The Irene Dunn Fred McMurray show Starring Irene Dunn as Susan And Fred McMurray as George Together in the gay new exciting comedy adventure Bright Star Yes, it's the Irene Dunn Fred McMurray show starring well naturally Irene Dunn as Susan Armstrong editor and owner of the Hillsdale Morning Star And Fred McMurray as George Harvey Susan's ace reporter As we join our two stars we find Irene that is Susan Consulting with Fred. I mean George on a weighty matter concerning the city of Hillsdale About this wave of safe robberies in town Susan I was thinking that if you could write another editorial putting the blast on the chief of police Well, I call in this time George Bungling and inefficient are corrupt and Navy make it a little of each keep them off balance and be sure to say that he Have I the pleasure of addressing Miss Susan Armstrong? Well, yeah J. Palmer Herrick of Hollywood the capitals of Europe the New York stage and now in virtual retirement in your so beautiful little city of Hillsdale How do you do mr. Herrick? This is mr. Harvey a reporter on our paper. Oh, yes indeed miss Armstrong Not as a commercial venture, but merely to express my appreciation for the hospitality of your delightful little town I am founding here the J. Palmer Herrick school of the dramatic arts Please get the spelling right Harvey. It's h e r r i c k That's fine We'll be glad to run the story on the dramatic page dramatic My dear lady. This is headline news. You see mr. Herrick our space is rather limited just now There's a local crime wave and let me get over here. No, don't turn your head I want to see the left profile Amazing Amazing little Jean-Dôles when she played rock sound to my Cyrano in our triumphal European tour You've been on the stage of course miss Armstrong. Well, no that is I did several walk-ons in college I knew it you will of course enroll immediately in my school miss Armstrong immediately too much time has been wasted already dramatic training me Well, really mr. Herrick. No, you owe it to yourself to the world Well, I I really don't have any serious aspirations about the stage Susan You're not gonna fall for this can't you see it's just an angle to get free space in the base phase Forty space when placed beside a discovery such as this by we have the fear You just happen to have picked the wrong person That's all miss Armstrong is a very intelligent woman and she certainly knows that the idea of her having stage possibility It's just completely laughable Susan you're not laughing Say anything so excruciating about my taking one or two classes perhaps bringing out the inner the inner hand Good, I shall expect you tonight at eight miss Armstrong, but Why not? Brother the delight of the unexpected I come on a trifling errand the very nature of which escapes me and I find another Blooming in the wilderness Come Harvey to work. We show you get the spelling right now H. E. R. R. I. C. K. And the address is 1924 Seven o'clock mr. Harvey you're not going out for dinner. No Sammy I guess I'll just have you run down and get me a sandwich again ham and cheese again Let's make it something different than I do ham salad and cheese Oh for the good old days when you used to get invited over to miss Armstrong's, huh? Yeah, seven course meals we had starting with oh well one mustn't live in the past Sammy and one must sacrifice for one's art That's what miss Armstrong says. Yeah, only it's her art and my sacrifice 1030 I am privileged to call for miss Sarah Bernhardt at the theater and escort her home Shall I get your sandwich now? No, no, I'm not hungry. Well, I'll toy with it a while This is the winter of my discontent. How's that? No Shakespeare Sammy I pick up crumbs of information like that from the theatrical set for mr. Harvey poor mr. Harvey You see class under the Stanislavsky method of what you act you must be and what you said your mind to You will be a woman betrayed a waterfall a Grecian urn That you understand miss Armstrong. I think so mr. Harry. You may call me maestro And now and now we shall try it You're through hello George in a minute the stage Harvey is for the act well, excuse me.  You're being asked to give up everything title kingdom Family friends everything to share the hovel of a penniless poet the man you love Susan you must be that woman. I'll try my stroke your cue You must choose beloved choose between Francois I who can offer you nothing and the palaces the jewels the trappings of glory I am waiting beloved. I Choose between power palm ball things the world holds a value and to balance the scale Only the love of poor Francois Choose Between a lifetime of security and ease and the day-to-day hand-to-mouth struggle which will be your life with me I await your answer beloved. Is it yes or no? Yes Well, it needs more work Susan. I had the feeling I was carrying you if you were it was a short trip Please George that's all for tonight class. You have your assignments work on them live them That is all use me miss Armstrong, but would you and mr. Mr. Harvey this is miss Cartwright George Reporter for the news. How do you do? Would you and mr. Harvey just possibly be going my way? It's so late And I don't happen to have an escort night. Well, why are you certainly miss Cartwright? Your way is our way Well, that's just awfully nice of you especially since I'm a rival reporter a friendly rival that is you sure you don't mind That's ridiculous isn't it Susan he's practically hilarious and the three hours can discuss Stanislavski You've been on the stage of course, mr. Harvey me. Oh, no, no, no what this is unbeatable with those theatrical features the You really think I have theatrical features pull in your balcony George and let's go Oh, but you have faced the public in some capacity mr. Harvey. Well, I I did play a saxophone solo at my high school graduation My show my show I've made a discovery. Well, mr. Harvey give him a line reading my stove. I'm sure he's one I was well I I wouldn't say that Are you coming George? Well, no, no wait Susan after all if there is something in me I should give it a chance to come out exactly you owe it to yourself here read this mr. Harvey well choose Choose between a lifetime of security and ease and the hand-to-mouth struggle which will be your life with me I await your answer beloved well Well, my sir Well my stroke Hmm You understand mr. Harvey and that the lessons here are on a strictly cash basis.  Well Well, uh coming Susan miss Cartwright coming fellow artists Down George boy down down Good morning patients good morning, miss Susan your breakfasts already. Thank you patients How are you getting along with Stanislavsky? I'm developing I think But it's really a difficult concept Especially the assignments the maestro gives us What are you today? Today, I'm a coffee pot. Oh Shall I put the asbestos pad under you? No, I don't think so. Thanks Doorbell, that's George. He's calling for me this morning. I'll get it Oh, good morning patients this arm strong up yet. Oh and percolating nicely. Thank you right in here Mr. Harvey miss Susan. Thank you patients Good morning George. Good morning. Uh Do I detect a slight chill in your greeting Susan? Not at all But really George last night miss Cartwright thinks I'm doing rather well I've only been with a group a week.  I thought it added something. Oh, why didn't you break into a soft shoe? We mustn't let things drag, you know No, mr. Harvey. How about a slice of ham? We seem to be overstocked. No, thanks patients Well, we better be going coming Susan. Yes, George And George I want to talk to you about the the little habit you have of crossing in front of me on my lines Cross in front of you the stage is movement Susan if you stay rooted in one spot I can hardly just because I don't consider that I'm trying out for a track meet is no reason why you should Now they're actors next week a trip to the moon That's all for tonight students work on your assignments.  Whatever put that into your head. Oh, that's well You see it's a much shorter walk that way and imaging thought that the two of us could talk over the scene We're in together. I told you with mine. Well, of course not better still Why don't I just walk home alone? Practically the same thing anyway. No, wait a minute Susan. There's no reason to take that attitude because of Susan Susan come back here Wonder what made her flare up like that What made miss Armstrong leave so quickly George. No, she uh, she didn't feel well imaging. Oh nerves, I guess I do feel sometimes at the strain of being an executive and a woman at the same time is too much for anyone But she does make such a good try Yes, yes, she does and then it must be hard for your paper getting scooped so many times by the news on these crimes stories Well, that won't keep up for every imaging those crooks are going to be nab soon and I'm going to be in on it Uh, here's your office building George. Is somebody on the paper working late tonight? No, I don't think so Isn't that a light on inside? Yeah Hey, it looks like a flashlight Imaging somebody's in there cracking the safe you stay here. I'm going in. I'm going to give you George They put out their light. Yeah. Yeah, you stay here.  Yeah, but not trustworthy. He taught us yet a gun. Oh, well, he didn't need one Excuse me, but are you robbing this safe? Here's another ready lady. We already robbed the safe Well, you shouldn't have but as long as you did would you do me a favor the money we don't give back Oh, no, no, you see I work for the other paper in town Would you mind tying up George here until my paper can get on the streets with his story? Well, I don't think so. What's your mind, Eddie? Oh, not a bit max. Would you mind George? George says he wouldn't mind What does George do lady?  Yeah This is an actor just starting out just starting out George, I hope you have a very wealthy father To our two stars Irene Dunn and Fred McMurray and the second act of our story It's the morning after George harvest great heroics while trying to foil the robbery of the morning star office And George finds himself very much in the news It's better since you had a shave spending the night tied up on the floor Sammy is not exactly a beauty sleep I'm all sympathy, mr. Harvey. Thank you. I'm glad someone is is miss armstrong here yet in her office Uh, how did she seem antagonistic? Everybody acts as if this thing was my fault. I'm going to talk to her. Good luck, mr. Harvey Good morning, Susan. Good morning, George. I hope you're feeling all right. Of course Susan. I told you on the phone earlier I'm as good as new Uh, did they get much money from the safe? It was insured Oh, good What are you reading the news extra Bandits clean out star office as actor reporter plays dead actor reporter you george Scooped on the robbery of our own office. Well, those things happen susan Why that is an unfair question Well, come on actor reporter. They want to speak to you down at the police headquarters Why I've already told them this story when they found me this morning I really don't know why george. Maybe they want you to play a benefit. Oh, you really think so? No Somehow I didn't think you did Go over this just once more and see if I can get it straight, mr. Harvey You're fighting me sergeant. No, but it's an idea. Please george. Now you say you didn't see the band No, but miss kark right who was with you did see it. I was unconscious and that I believe Uh, where were you coming from when you saw their light in the window my drama class Miss armstrong. I thought you said this man was a reporter. I didn't say it. He did susan Now you say you're rushed inside the office. What for I was going to capture the bandits Did you have a gun? No, but I acted like I did have you acted like you did. Yes Uh, mr. Harvey the next time you see two fellas robbing a safe Will you kindly not go into a role from your latest stage success? But just call the police He will sergeant. Thank you. We know it's not dramatic But unless we catch a few crooks now and then we wouldn't have any jobs that you can see that I think so. Yes, we'd appreciate That's all Well, that sergeant didn't have to take such a superior attitude I think he was very moderate under the circumstances george. What circumstances? I practically get my skull caved in lie all night on a cold stone floor wood But cold wood floor and just because I was coming home from a dramatic class everybody treats me as if I was an eccentric or something And might I suggest george that you concentrate for a while on being merely a newspaper reporter You mean give up the drama class? Well, how about you? Well, I haven't thought much about it, but I should give it up Just one imaging says I'm beginning to project Well kindly project on your own time, mr. Harvey. I shall continue to do so I shall see you at the drama workshop tonight. Miss Armstrong. I shall see you tonight, mr. Harvey What a hand Students an important announcement for you tonight Jay Palmer Herrick begins casting for his first public Hillsdale production The cast will be chosen from my afternoon class and from this evening class The vehicle will be an exciting drama of my own composing A gangster drama of the early 30s as yet untitled I'm torn between titling it public enemy or high Sierra Aren't you thrilled George? Oh, yes. Yes. Very. Yeah, aren't you Susan very students to appear in this original herrick production You must look a gangster talk a gangster Be a gangster Tonight our class is a field problem under actual test conditions Students of the drama Tonight we shall burglarize the vault of the acme storage company Mr. Mr. Herrick, don't you think you're being a little extreme naturally my bright young man We shall not in actuality break into the vault I have arranged with the president of the company for us to use the premise Oh, that's different. We shall therefore experience all of the turbulent emotions of the underworld outlaw An experiment Stanislavsky himself would have applauded The class is dismissed to reassemble in 20 minutes in front of the acme storage company You want to walk over with me George? Well, as a matter of fact, imagine I will right ahead George If you want to that is coming George. Well, no, you see imagine I thought I might walk over with Susan the things to discuss about the paper and so on you understand Of course George. I understand by now Why did you do that George? I don't know Susan. I just want to do that song And do you have anything to talk over with me about the paper?  Let's walk over to the acme warehouse the long way George, yeah, I think you'll get a role in this gangster play. Well, no I don't think I will either Stanislavsky coffee pots. Who cares? I'm glad you said that I feel just the same way. I'll never be an actor. I just haven't got the desire or talent again You know, I think I might even drop out of the class That is, if you were considering dropping out, I wouldn't want to leave you there alone I wouldn't be alone. Imaging it still be there That's just what I mean. Well, I think I'll drop out too after tonight Give me more time for other things What George?  Sure, I know George It's the first time I ever kissed a girl in front of the first national bank building Mr. Armstrong and Mr. Harvey and then we're all here, huh? Now you understand the field problem You are desperate hunted criminals experiencing surging sudden alarm as you break into this building Mr. Harvey, you and Miss Armstrong will now enter. Oh, sorry, Mr. Herrick. I left my skeleton key at home Mr. Harvey, I arranged for the front door to be open.  Hey, you two Stand right where you are There there's someone in here over there He's got a gun. Oh sure. He must be a student from the afternoon class. Herrick put him in here to scare us What are you two doing in here? You see maxi from the outside working on the vault. Yeah. Yeah. Yeah, we spotted maxi working on the vault You're pretty cocky friend.  George, are you sure he's from the afternoon class? Oh sure, Susan. He's the worst actor I ever saw Come over here slower. I can get a look at you. No, no friend here. Here's a little tip for you You're playing it much too broad not believable at all one dimensional characterization George I don't don't worry. Susan if he's a gangster. I'm mickey rooney Mickey maybe you and the little lady better come back and see maxi I'll move Look, you don't even know how to handle a gun here. Here give it to me. Yeah. Yeah, I'll show you now All right, you two move You see that's the way here's your gun. Thanks Now let's go see maxi George, I don't like his looks at all. Oh, he's doing the best he can. Susan. He just isn't living his role I saw but there is someone in the back at the vault. Well, I hope he's a better actor than this one and max Look what walked in on us Well, they're running in pairs this season. Haven't I seen you before boy bank rubber? Sure. We're from the evening class Yeah, you hear that, Eddie? They're holding classes these days. Hey, think of us never took a lesson in our lives George look both door open. Oh, well harrick must arrange that. What should we do with him max? Max max. Look, I'll give you the same tip.  Yeah, I do a good jimmy cagney at parties big laughs George this is the real thing. Look at the jewelry. I got it out of the vault Please Susan you see fellas. You can't just play mugs anymore. You've got to give it some dimension Maybe maybe one of you could have a kind of a old uh neurotic twitch and the other could have a good good Student that's real jewelry.  You too. Now you give us a good review on your paper tomorrow We're thinking of taking our actor Broadway. All right. We talked to these two drama critics long enough max You got the vault cleared out. We'll put them in it. You're good. They move This is really a real gun. Well, you certainly fooled me Well, uh, what do we do now Susan george? Do you suppose they got the Secret compartment in the vault. What's that?  I was I actually Well, come on susan. We've got to get out an extra daring actor reporter captures bank robbers. Come on Our two stars iran dunn and fred mcmurray will be back with this in just a moment You're sitting there very quietly george. Oh just thinking susan Not that i'm going to resume my acting career Well, that's fortunate But I was wondering if there really is anything to this stanislavsky theory You know that if you visualize yourself in a role and live the role people will accept you in it Meaning what george? Well for the last five minutes. I have been an irresistible lover. No woman can withstand me Kiss me susan Why of course george Stan, I think you've got something Irene dunn and fred mcmurray will be back next week in another exciting comedy adventure in the gay new series bright star This is harry von zell inviting you to join us then


Alrighty, so the TIA attendance report has been released, so I'm gonna link it down below in the comments section and the description, and here's the credit on the screen before you. Now what's interesting about this year's is it seems a lot more inaccurate than it usually is, and I didn't even see the disclaimer that they typically have, and correct me if I'm wrong if it is in there, but normally they have a disclaimer that tells you that the numbers are just them guessing based off of numbers that, so for example, if Cedar Fair is like, oh, we had 7% attendance growth and they will go in and put those numbers to wherever they think had the biggest growth based off of new attractions. That's usually what they do with Cedar Fair, but this year it just seems a lot more inaccurate than it typically is, which is just quite interesting, but it's probably to do with maybe the restrictions in place for what's going on in the world. Now, on the screen before you is the top 10 theme park groups. This information is accurate, so you have six flags in spot number seven and Cedar Fair in spot number eight. Now what's interesting is the Cedar Fair has the 7.8% increase and Six Flags had 2.5, and again, for anyone that knows anything about Six Flags versus Cedar Fair, Six Flags has nearly doubled the properties to Cedar Fair, so Cedar Fair does hold a really strong grounding on the market, so for the amount of parks that Cedar Fair owns, they do have a significant amount of the market in terms of attendance, sales, everything, they are significantly higher per property than Six Flags, and a lot of that has to do with the hotels, so Cedar Fair has resorts in hotels and I think they actually just recently acquired a big resort with a golf course and all that, and then they have their sports force buildings as well. So Cedar Fair does have a significantly larger revenue stream, but I have really high hopes for this new CEO of Six Flags. I'm gonna make a separate video on that, but I'm seeing some really interesting things come out of this new CEO, and I think that he's gonna go down a very similar route that Cedar Fair is going down, and I think he's honestly going to be Six Flags' new saving grace. I think you're gonna see a new Six Flags moving forward. I think you're gonna see a lot of amazing things, and based off of what we're hearing and potentially gonna be seeing, he could be raising the amount of money that they spend each year on new attractions, so we're waiting to hear an official announcement on that, but it's looking really good. I honestly think Six Flags has a really, really bright future, and I really look forward to seeing it. So here is the top 25 amusement parks, so nothing too, too interesting on this list. I'm not a huge Disney fan. I don't know everything about Disney's attendance. I have been seeing online, you know, people were expecting Disney's attendance to have decreased, so it's weird that it's flatlined. I don't have anything to add on to that. They did just open Star Wars, and we know that it was a lot more successful than some people were portraying online. A lot of people were calling it an epic failure, yet the park was like maxed out each day, so it all comes down to who do you believe online and all that. I don't think Disney really performed as poorly as people were expecting. I think Disney definitely didn't do as well as they were expecting, and they were expecting a lot more guests, and they didn't get that, but nonetheless, I don't think they performed nearly as poorly as people had been advertising online. So here is the top amusement parks in North America. So what's interesting is Knott's Berry Farm at 4,238,000, that number is significantly inaccurate. So it has been released on a stockholders call, I think almost two years ago now, that Knott's Berry Farm's attendance is actually in the six millions, and I did fact check that. It is true it was said in a stockholders call, and multiple people have fact checked that as well. Knott's Berry Farm, being a year around Cedar Fair Park, actually broke significant records, I believe it was a year and a half, two years ago, when they announced on a stockholders call that they did hit, they were hitting in the six million attendance, so that number is inaccurate. Canada's Wonderland's information is highly inaccurate as well, not as inaccurate as Knott's Berry Farm, but based off of the math and what we were hearing at the end of Winterfest when we got to talk to some people, Winterfest at Canada's Wonderland brought in about 500,000 was the estimate, and that was before Winterfest had ended. So we're giving it around 500,000 to 600,000 attendance increase for Winterfest alone, and then that's around a 13% increase in attendance alone for the park, I believe. I'm doing the rough math in my head right now, so I could be wrong, but that should be around a 13%, actually it's probably higher, but it's a lot higher than the 4% you're seeing on the screen, and then that's not even taking into account Yukon Stryker's attendance increase, what Yukon Stryker would have done for the attendance. So based off of the math that I know with numbers with Winterfest and all that, honestly I'm putting Wonderland around 4,300,000 as the attendance change, not attendance change, sorry the attendance in 2019. So again, do the math on your own, I can't really do that in my head, 4,300,000 versus the 3,700,000 the year before. Again, the numbers are inaccurate, I bet you they're extremely inaccurate for Six Flags as well, I can't speak on that, I don't have too much knowledge on Six Flags, although I'm trying because the new CEO again is really impressing me, and when it comes down to business management and CEOs, that's what really gets me interested. And I've actually noticed Six Flags is really starting to sway me in their favor. Just the way this new CEO speaks and his vision for the chain, it's just in my eyes, I'm just so excited, I almost wanna fast forward like five years from now, and just be able to see what the parks look like, because there's gonna be a lot of changes, and it's gonna be a lot of really good changes. Their handling of what's going on in the world right now has been absolutely amazing. And just hearing him wanna raise what they're spending on rides and attractions right now from 9% and raise it even higher, that's like really exciting. We could see B&M's coming to Six Flags again, we could see Intamin's coming to Six Flags again, we could see those world record roller coasters, which will start like a roller coaster record war, like a whole roller coaster war again, which is truly exciting. Again, I'm gonna work on a separate video for that, but I wanted to get this report out. Nonetheless, Universal, we know they would have had an increase in attendance. And Universal is honestly a chain that's just gonna continue to do really well. You have the Velocicoster, but take the Velocicoster out of it, they're building hotels, they have Volcano Bay like water park that's absolutely impressive. And it just seems like Universal is just, they took what they made in Harry Potter revenue, and they're reinvesting it. And that's what I really like to see with a business, like it's just Universal, it has not slowed down since Harry Potter. It's just attraction after attraction, hotel after hotel, massive water park. I honestly, like Universal has been so underrated in terms of their investments and their growth. And it just annoys me so much sometimes because everyone is so pro Disney and Disney this and Disney that, but in terms of an adult park, like Universal is really kicking it, giving Disney a run for their money. They have howling hornites, which is just absolutely amazing. Volcano Bay water park, which is just absolutely amazing. Honestly, the hotels at Universal are so much better than the Disney hotels. I stayed at the Contemporary Resort Hotel and there were just roaches everywhere. My stays at Universal's hotels are just like legendary, like such a better experience and they just keep expanding honestly. And then the attractions like Velocicoster, like, whoa, honestly, amazing. I'm a huge Harry Potter fan. So again, this is pretty biased because of course I'm gonna be more swayed towards Universal just because I already bought her. But I just feel like Universal has a down pat. The restaurants at Universal, in my opinion, are better as well. I just, again, when it comes to, if I'm gonna go to Disney or Universal, Universal is my choice. It ultimately is. I love Universal. I love the management at Universal. I love that they take such massive amounts of money that they made off of Harry Potter and reinvest it. And then the Tendo world is coming to Florida in the next like, what, five to 10 years? I don't actually know, but Universal is just steam rolling. They're literally setting their roots in Orlando. Again, they have roots, but it just seems like those roots are just getting deeper and deeper. And it's just, it's awesome. I can't wait to see what happens with Universal in 10 years. Nothing else to note here. Hershey Park, honestly, it was on last year's list, I think. But again, I was kind of shocked that it was on this list. I didn't realize it was this big of a park. That makes a lot more sense now. I definitely see a lot of expansions coming for Hershey Park as well to get that attendance increase. It's unfortunate what's going on in the world right now and it's gonna slow down what would have been probably their most successful year ever, just because that park looks absolutely stunning with that front gate reno and just the reno in general and pandemonium, like that whole area and the Starbucks and everything. Like it is so beautiful. And I remember I had my experience at Hershey and my opinions, but like, wow, that park looks absolutely amazing. So it would, again, it would have been a record year. So it's unfortunate that is what's going on in the world right now, but it's gonna happen everywhere. So hopefully two years from now we start to see all these regular numbers returning. Anyways, that's my analysis of the attendance report by Tia. Again, it's linked down below. Definitely go check it out. Take the information with a huge grain of salt. These are all predictions based off of the writers with a little bit of correctness here and there. But again, anyways, take the information with a grain of salt. Hopefully you enjoyed today's video and yeah, have a great weekend if it's coming up. I believe so. Yeah, today's Thursday, so have a great weekend and thanks so much for watching. Bye guys.


It's the mid-week roundup Welcome to another mid-week roundup. Lots of images to show off and a little bit about Clash of Kings as well that's just gone on the last weekend. So let's crack straight on. Fantastic Asterians by Alvaro. Really like these because they almost have that sort of icy feel to them. They're not done in sort of a snow pattern but that's a sort of vibe I get from them. Really nice texturing, really nice sort of dull tones but I don't mean that in a negative. I mean that in a positive light they're really, really well painted. I really like that scheme. Something a little different. Moving on we have Christian. He's done his Pathfinders and his enforcers. Really like these colours. What I particularly liked about these, you'll have known by now watching these that I really like seeing well done bases. The dust, the mud on the tyre of the monocycle I think is just spot on like it's done really, really well. I say we're all chipping away at our slow grows. I'm still very far behind but Daniel Oliver, he is well ahead so end of last month, end of September we all should have had our leaders done. I haven't but now we're moving on to vehicle. This month of October is get a vehicle done and painted. We are on what the 5th of October. I don't know when he actually finished this but it's already done so that's incredibly speedy for his slow grow. It's all credit to Daniel. Really like the tones, the highlighting, the way he's done the blue armour like priming it black and then just sort of dry, it looks like it's sort of dry brush highlight of the blue and then edge highlighting as well. It's really, really interesting technique and looks fantastic. It's been painting some ogres. I really like the fact that you've gone for blue skin tones for something very different. Hopefully Dustin is very keen and excited about the new ogre releases and I certainly am. I keep eyeing up sprues that are on studio desks and thinking maybe I could do a little ambush ogre army because they are one of the finest hard plastic sprues I think we've ever done. They really are absolutely stunning. It's been doing some embiro dust. Fantastic idol of showbix and the monolith. I really like the monolith particularly the flames. They've got a real sort of ethereal look to them which is exactly what you want from those flames. That sort of magic as opposed to just fire. Yeah, they're really, really nice. An idiot-proof Dalek's been knocking it out the park again. We've featured him plenty of times now. He's an absolutely fantastic painter. He's currently working on his basalians for Armada. This is a work in progress. As you can see, adding some of the sails at a later date once you've managed to paint all the fiddly bits is often easier to paint some of the Armada ships in separate pieces for that reason. I suppose it depends on what level of detail you want to go to. If you go into this sort of level of detail then you really have to do them all separately. You just want in a basic brown deck and fitting in the dry brush of silver on the cannons. That sort of thing. You can definitely get away with building it all first. Personally, I'm always a build-it-all worry about painting it afterwards. You see some of these crazy people that will paint stuff still on the sprue and I just can't have the foresight for that personally. I prefer the building rather than the painting anyway as the hobby. So my mind goes make the model and then worry about fiddling around where I can get a paintbrush at a later date. At the end of the day, if you're only one in tabletop really standard then often you can't see a lot of undersides and things anyway. But you do get people like Iddy Proof Dalek that are just all about the painting and making it absolutely stunning by going to this sort of level of detail. So yeah, fantastic that. King's been doing some goblins. I really like the dusty sort of tones to these. Very neutral rather than a bright green. It is sort of, I guess you'd call it an olive green maybe for the skin tone and then very similar dark browns and neutral tones for all the armor and everything as well. These are cracking. And we have just got back from Clash of Kings this weekend. It was my first time at Clash of Kings. I've done plenty of events in the past but I've never done a clash. So I didn't know particularly what to expect and it was fantastic. It was really good to see so many people out there playing Kings of War. The community is second to none. Everyone is so friendly, so welcoming. Incredible to see so many people coming from abroad as well. So that was just lovely. I've got a few slides that Kyle has taken some photos and a few mine as well from while we were there. So we'll just run through these quickly. This is a fantastic action shot here. Some fantastic riff forged orcs painted up here. They look really nice on that gaming table actually. The snowy gaming table with the silvers of the shields look spot on. And it's Ronnie with a big crowd of the Spanish contingent that came over. It's fantastic to see so many people coming from abroad. We had French, American, Spanish, you name it. Really great to see all of them out on the Saturday evening as well. We went for a Turkish. I've never eaten so much in all my life. It was brilliant. So that's it for the midweek roundup this week. Keep an eye on the blogs this week and next week. If you are maybe currently playing Firefight or whatever else you might play or you've literally just found us now on YouTube, we are doing a week or two weeks of Kings of War getting to know exactly what it is, how to play in a hope to bring in more and more recruits. It'd be fantastic to see this community grow and grow. It's already an absolutely thriving community. But with the new red book on its way out, there's never been a better time to jump on board. So do watch out for those. And in the meantime, we'll see you again soon.


Hey there friends, how's it going? My name is Kevin and I don't know about your country but my country Ireland is still in lockdown, which means I think we should just watch a little TV together, you know, enjoy a little home time. So what I picked to watch was Ireland's answer to Gordon Ramsay at your service. It's not a show I've watched before but I've seen clips of it and I thought it'd be fun to experience it together because we've had some good experiences watching Irish TV before. Nobody wanted to get their hands on Jude's bowl semen. I just hope I don't get sued by the entire nation of Ireland for stealing all their TV and uploading it to YouTube, but let's not think about that for now. Let's watch two middle-aged men ride into a nice song on bicycles. Oh, I feel upbeat. I can almost see them through the pixels. Okay, it's fixed. So these are our main characters. You probably can't see them right now because they're in camouflage, but you'll see them soon. Okay, that's cultural appropriation. Maybe I should skip the little intro. Now, this is a first, Emily. The two Brandon brothers in the bed with you. Skip. Skip. Oh my God. Look at that house.  It's amazing. It's actually the house where the devil appeared and played cards. Okay, that's not as amazing. Wait, can we look into this? Can you not just brush over that? It's like, my house is actually quite famous because it's the exact house that the devil appeared and was playing cards in. Anyway, let's go. You can't just gloss over that. We gotta know more. Oh my God, there's a lot of info on this. Let's see ghost stories. Okay. On the Irish TV show at your service, the devil was discovered and released from his earthly chains. No, I made that up. Sorry. Just wanted it to be more exciting than it actually is. During a storm, a ship unexpectedly arrived at the Hook Peninsula where the mansion was located. A young man was welcomed into the mansion and then the young man became very close. But one night, the family and the mysterious man were in the game room playing cards. In the game, each player received three cards, apart from Ann who was only dealt two by the mystery man. A butler serving the Tottenham family at the table was just about to question the man. When Ann bent down to pick another card from the floor, which she must have dropped, it is said that when Ann bent over to pick up the card, she looked beneath the table to see that the mysterious man had a cloven foot. I was expecting this to be a bit more scary. It was then that Ann stood up and said to the man, you have a cloven foot and the man went up through the roof, leaving behind a large hole in the ceiling. What was that story? The roof of Ireland's most haunted house has now been restored. Oh, they restored the roof. Okay. So now the devil can't come back in the way he got out upgrading a haunted house, a cafe, visitor center and walled They made it into a haunted house? Really? I think you could have made it into a cool restaurant, a cafe and like a historical thing rather than, you know, just a spooky house. All right, here are our heroes ready to fix up the house. I just draw a splash of paint on her and open for business. Oh my god, look at that chair. It's destroyed. Ah, come on now, gang.  Good thing he repaired that ceiling. What is a cloven foot? Hold on. Like I'm pretty sure it means like three toes, but I just got to make sure. All right, so there you go.  I still don't really understand the whole story. Like it seemed like he was there for a long time and only then they realized that he had the cloven foot. They're not here. I'm like clip-clopping all over that house. Now, this was remodeled in 1872 by Lady J. Oh, they did a great job. I love the boards on the windows. It's a lovely touch. It's fabulous, isn't it? Yeah. I think I see the patch that the devil went up through. What are they going to do with this house? I can't imagine them putting in enough money to actually fix up the whole thing. All right, this is a bit cheesy. Like, do you see what I mean? Just show me the thing. Don't like it. Make it all dramatic. Lady the house dropped a card. Oh, he's explaining. I know this story already. I'm well informed on this topic. And she got an awful right. How's you can imagine? How's you can imagine? Oh, who wants to go glamping in a place like this? It's Ireland. You'd be out in the rain and the place doesn't look very nice. I'd rather stay in the room with the cloven foot guy. What would possess you to do the garden? I don't know. Just like that. Yeah. There's no financial return. No, I spent all the money. Yeah, that is a good point. They went and did like the garden and the glamping and everything when there's like probably a million euro worth of stuff to do on the house. It's a bit strange. It's like, oh, Jesus, those boarded windows could do it replacing. But you know, it looked nice. A few daffodils or something down there. Now, we'll plant a few daffodils. We'll get some glamping tents outside. It seems like they're doing anything to procrastinate. I want to live in a place like this. That would be so cool. Except, you know, like super fast broadband and like everything fixed and everything. And also like, I don't know, maybe a thousand euro a month or something would be doable. The final thing on the Brandon's checklist is to introduce a brand new ghost tour. A new ghost tour. You see, like that, that place is cool. Leave it like that. Like genuine. I want that. I don't want like cheesy skeletons jumping out like blah, blah, blah. You know, like I want genuine stuff. It would look cool.   They should give it to me. I'd make it into a gaming house.  Was pointed out quite rightly by Francis and John. The people coming here, they don't know what it is. It's just a car park. It's a good point. There is literally no signs telling you what this is. I'm both are working hard to get the glamping area ready for business. Back off with the glamping. That's not what you need. God, he's obsessed with glamping. With the glamping raring to go, Aiden and Carol take their first booking. Oh, yes. And spells disaster for them. Oh, no. Doesn't sound good. Can't tell us what happened. No easy way to. Oh, no, they died, didn't they? So this is the last wheelbarrow out of this one. Oh, no. I don't want to be judgmental or anything, but. Oh, that's sad. I couldn't drink that in a month. We've had. Jesus Christ. I thought it would be like the guests going just we couldn't sleep. Sure. There was there was noise and there was this and that. And they kept coming in and telling us about the cloven for gentlemen.  I didn't want them to ruin their glamping area bad bad. Of course. Wait, I figured it out. It's the Canadians. You see that? They left a clue. Damn Canadians. If there's one thing the Irish hate, it's Canadians. No, I'm kidding. Please don't unsubscribe if you're Canadian. We like you, but we don't see you often. You don't really come here. You know, it just they wouldn't kill you to swing by once in a while. And the various amount of spirit, bottles, wine, pizzas. It's actually quite a feat. If it was a challenge, they really met as well. He's kind of impressed.  But at the same time, fair play. Like, that's impressive. I couldn't drink that in a month. Oh, you could.  Come on, you can do anything if you set your mind to it. We didn't manage this well. We've been the royal plurals mine. I don't know about that. Like, I get he's kind of blaming himself. I think he's being hard on himself. Like, these people were obviously nasty to do this. Like, fair enough, if you want to, you know what, go out and attend and get hammered if that's what you want to do. But clean after yourself, for Fech's sake. I feel bad for them. Oh, God, damn it. I've never wanted glamping to work as bad as I wanted to work now.  I said to them, would not give them another go because they were just unfortunate. They said, no, that they were out of the business and they were going to take the loss and rock. Oh, they gave up on the glamping. That's so sad. I do think it's for the best, though. The glamping is, I don't know, not such a good idea. But I feel bad. The storm did a good bit of damage around here. Oh, no, come on. Give them a break, please. I'm starting to think that Devil's story was true. And now he's pissed that his hole in the ceiling was repaired. He can't get back in. I've been there. It's not, it's not great. Don't go there. It's the Guinness place in Dublin, the Guinness Museum. Guinness is still a Guinness. It was kind of boring. There was a lot of reading and that's kind of it. There was a fish, though, on a bicycle. That was kind of cool. This is such a weird connection. This business has nothing to do with theirs. It's lovely and fresh and it's open. Yeah, it's lovely. A lack of glamping, though. Like, where is the glamping? What's the next thing? I can't read your handwriting. It's like a doctor's handwriting. Pundgarden, is that what it was? Paidgarden Tours? He said it? What are they planning? I couldn't... Oh, yeah, it is Garden. Okay, yeah, it's Garden Tours. Okay, Paidgarden Tours. I love that this guy wears a Hive's jacket no matter what he's doing. I think he just wants to be noticed that he's putting in the work. I think that's it. You know what? I think it's actually a good idea to wear Hive's jackets no matter what. I remember when I went to court because, you know, if you didn't realize, I'm actually very, very brave. I got hit by a car as a pedestrian. And I went to court over it and the guy who hit me, his like lawyer, was saying to me, you were wearing a Hive's jacket, I imagine, given that it was getting quite late. And no, I was coming out of the cinema. I don't think the people in there would be very happy if I was wearing a Hive's jacket. So he's one step ahead of the game. He's ready to get hit by a car. Kevin Lifetip. All of us, be ready. Oh, wait, what? What's happened now?  What happened here? Well, it was a little bit of a disaster, but... Ah, look, it's not that bad, to be fair.  It's somewhere in the middle. Like, it's not that bad. It's pretty repairable. Put on your Hive's jacket and just bolt it back up there. It got tested everywhere. So anything that's alive deserves to be alive, right? That's kind of inspiring. Anything that's alive deserves to be alive. He's taking them to Cochle Wall Gardens nearby, who charge like... I guess he's trying to motivate them, but they have a deadline. They want to get this place ready by Halloween to keep staking them on walks and tours in different counties and all this. They're probably like, please, just give me my Hive's jacket. I want to get to work. Those are nice gardens, to be fair. I'll tell you what's a nice garden in Ireland. If you're ever in Ireland, I just go off on tangents. If you're ever in Ireland, Blarney Castle, they have lovely gardens and they have the most deadly plant known to Ireland, marijuana. It's so funny because there's like poisonous plants, like literal poison.  And then next to it, there's a big cage with like one bit of marijuana growing in the ground like this big. Good morning. Good morning, Francis. How are you? Good to be here. I always find it so funny in TV shows when they're out there just, he's just raking. It's like, oh Jesus, fancy running into you here with the cameraman and you just happened to be raking the gravel. God, that's wild. What are the odds? You don't have much time left, buddy. You've got to fix up this house. We're through 18 and a half minutes. You've six minutes left to fix up this loftess hall. How do you protect the garden from people? We put giant cages around the marijuana. First off, the new reception area. Well, hello there. Hello, Francis. Good to be back. God, Fancy seeing you here with the cameraman. What a coincidence. I love their TV shows. Oh my God, this is going to be spooky.  And during that time, she only really did one thing. Sit in the corner and rock back and forth. Back and forth. This is good. Yeah, this is good. They've done it right now. It's less cheesy. It's like a little actual tour telling the story. And then Carol's trump card. Oh no, now they're doing that scanning thing. All right. Oh God, look at that. They're looking for water. They're doing this for the gardens. They're worried about drought.  And this is her own ghost tour. I really enjoyed every moment of it. That's great. Look at that smile. It's all worth it for that smile, isn't it? And as for the new garden tour, Aiden and Carol haven't quite got round to finding a guide. So guess who is stepping up to the plate? That's not a solution. Like he's only here for like 20 minutes. He can't be doing the garden tours all the time. If you don't want to weed the garden, do you like weeding? No, I don't. Do you like weeding? She just turns around. She's like, 420. Let's smoke one up right now. Success all round sees Francis going up. Was it though? Smiling, not scared. Did they accomplish anything? The two branded brothers in the bed with you. Francis, John, you have some answers to give us here. Like you came in and installed some new signage. They're glamping failed. You were like, oh, you should do something with the garden at some stage. And you took the ghost tour. And that was kind of it. Like they gave them some nice common sense ideas. But like, I want more like evidence that they actually helped. They just brought in a few people and were like, do you like this now? Is this good? And they were like, oh yeah, this was lovely. And that's it. That's their proof that they fixed it. No, no, no, no, not Squarespace. This video isn't even sponsored by them. They have never sponsored me. Go back, I'm trying to look at their website. Like look at that.  Like I love it. I actually want to go visit there now. I guess if nothing else, even if they just gave them minor help, like it's good publicity. Like I want to see the place now. I'd love to run around in there, do a few laps, you know, put on my little clove feet, cosplay items and just click, plaque my way all over the upper floors. All right. Well, I guess that's the end of that. That's some more Irish TV explored for you. I do have a few other items that I want to, that I want to watch. I don't know why I call them items. Hey, you want to watch some items on Netflix with me? No, but I do have some other stuff that I want to watch if you're interested in some more Irish TV. So do let me know if you enjoyed. I would love to know. But I appreciate you watching folks. I do hope you enjoyed. And maybe we can all go visit Loftus Hall together someday. But for now, I'm going to leave it there. Thank you again for watching. I hope to see you next time. But that's about it. Bye for now.