Is that a ball?  Even sub Corbin. I'm Rick, and he calls it Instagram It's a hot juicy content Patreon, try to count the bell to be part of the notification squad Ring it, BAM! Also, don't forget to hit the chansel in the description below Today we're doing a movie review It is of the Molly alum this film. This was quick Reacted to the trailer that we watched the movie. Okay. Yeah, we got I actually had a plan to watch another Molly alum film Which we will still watch I'm not gonna tell you what it was cuz we'll just probably mad mad But we got such great reviews and it just came out and we would like to see new cinema that comes out Pretty quickly. Yeah, we didn't get to see a lot of new films last year Yeah, when it's a new film We want to see it as quick as we can so that we can recommend it and it can be supported or tell you Don't go see it because it's garbage and it doesn't deserve your money And we did get a lot of recommendations when we did the trailer reaction that said this is fantastic Go watch it. Yeah, and we love the trailer, but it's the great Indian kitchen Directed by Geo baby. Mm-hmm written by Geo baby. Mm-hmm and then starring Namisha Sajayan and Suraj I will mispronounce your name forgive me, sir Ventura mood who we've seen in one other film. It's the one with Fahat facility where they steal her neck her necklace But it's a long title and I can never remember it. He's the husband of but since this is new We will just do a small little non spoiler review. Yes Just because that's with new stuff a lot of you haven't seen it and I'm assuming a lot of you haven't seen this film so Rick well with a new movie that we're not gonna spoil for you The bottom line is should you should you see it? Should you not see it? You should see it go watch this movie now stop stop watching this you should go watch it stop watching this now all of you And go watch it. That is our small spoiler review It's a fantastic piece of cinema Which is a hint that we liked it because if we didn't like it we would tell you don't waste your time Yeah, so I think every single person in the world, but especially every single Indian should see this film Yeah, I think it's it's something everyone up to parts Yeah, I think it's a a film that everybody around the world including Americans can relate to of course But I think it's especially Indian and I think it's very important for Indians to see this film Yeah, not because they're exactly like what's going on in this film But they might know somebody or the little pieces of their life might relate to and might open their eyes I don't know. I'm hoping yeah Go watch this film right now. Do not go any further if you haven't seen this film I think you can watch on Neo What is the knee knee knee something knee something platform? We're not familiar with yeah, but it's like two bucks Yeah, I don't know what that is in Ruby's there knee stream. Maybe knee stream. I think that's right So go watch it I Think it should be a heavily contender for the Oscars next year for India I Don't disagree Okay, now that you're gone all of you have nothing who watched it. Yeah, and you've come back. We can talk about content Your initial thoughts of the spoiler review. Well, I have a lot. I wrote a lot I didn't do a particular paragraph, but I A lot of times what I'm watching I will either write or I'll speak like if I have my AirPods And I'll talk to the phone and I'll just say something while I'm watching the film and there were so many times I'm sure you're the same way where I got so angry Which is the point. I got so mad so many times of the injustices that were being placed upon this this woman and In the name of you fill in the blank and we will in a second From as far as the technical aspects are concerned It was exactly what I thought from the trailer and I'm glad I was watching it with the air AirPods in because I could hear the little nuances I actually Was a bit frustrated at first with how long it took us to get into the story We were before you realize what the story was we're 40 minutes in and I'm like, okay if if what I'm what we're supposed to get is the ready for this word Mundanity Which means the mundane if we're supposed to be regimented into the mundane of this or this is going to be what you think It is ultimately the movie itself is a metaphor about the great Indian kitchen, but the I really at first I thought I was gonna have to review say I don't know that I would have had the first 40 minutes be as long as it was Until we get into the story But then we got another story and I understood why the first 40 minutes was the way that it was it was designed to get you as closely as you could to be as Locked into the machinations of this prison that she was locked into One of the things I wrote down at the bottom here was this that the title for me is a metaphor of all of the constraints placed upon women in The place they're expected to be mm-hmm barefoot and pregnant in the kitchen is the proverbial You know and that all of these women's these constraints are placed upon them because of misogynistic Patriarchy and anti-feministic superstitions and traditions and this great facade is that the magnificent culinary works created They're done behind the scenes and it's done at the expense of the feminine psyche and the freedom of the woman Mm-hmm, and that for me is the whole message of the film Yeah, I actually didn't have a problem with the first 40 minutes in terms of I think someone by incredibly fast The entire time I know what you're I know what you're referring to so I know what people would feel that way I didn't feel long. Yeah, it just felt like we didn't get to the story Which was the story enough, but that was the point. That was the point But this film I love this film. I love this film. I think it's one of the best films Which is incredible because this is one of his first films. It's he's not a yeah He has like two other credits besides this well just like parched. Yeah. Yeah, so fantastic But he did his film has so much to say and it starts right off the bat. Obviously after all of its thanks It thanks science first and foremost, which is fantastic Yeah, but then there's so much to say about obviously the patriarchy how women are treated and and and the societal norms that not only men put on but women Agree to those norms. Yes, and accept as reality that that is their reality From this traditional family and like what I was saying in the beginning about Every Indian should see this even if I'm not saying all Indians fall into this at all But you probably know somebody in your family or you might even fall into some of these categories that opens your eyes like one of the best parts was when she left finally which Made me verbally cheer for her. Yes, that she did that She went to her parents house and they were supposed to be this more modern Right and then the brother came then I'm assuming was the brother and he asked the mom to get him water Right. He was standing up. Right.  Oh god. Sorry. This film makes me Many many times so I was so happy with her that she like Exploded in that moment. Yes, like you are no different than what I just went through I actually thought she was gonna kill herself. That's what I did too. Yeah, but I thought it was a great ending that she She empowered herself. Yeah, I'm not gonna thank you for that more and then also once again the writing and directing by Joe Geo baby and everybody else who cooked it because I love that in the credits. Yeah, yeah did a fantastic job because After all this you think they would learn a lesson But then you see him with his new wife and he left the cup for her to clean himself And I bet didn't call the goddamn plumber yet. No. Oh Yeah, this film had of like it's hard to get emotional visceral reactions out of me very it got it out of me Yeah, not I'm not saying I cried. I didn't I believe my wife did But I got very mad the point this same way when in America We have a lot of films about race relations and especially old-school like when Back in the day or even now when people use the law or religion to treat black people a certain way Yeah, those films draw that same feeling out of me and this drew that feeling out of me multiple times Like if you haven't seen clue, there's a line and she's touch. She's so angry. She's like Yeah, that's how I felt during this whole film until the very end when I was cheering I was hoping like she was gonna poison him, but she just gave him the gross disgusting water, which was amazing Yeah, and I loved it and she pursued her dreams. She moved on and those dancers at the end were great Dancers were great. Yeah, I it was one of the issues that's covered in this and I wrote down many times, you know, I I'd Treating women the way she was being treated because they're on their period is extraordinarily infuriating bar bearer.  Let's let's let's talk about this because I have long had a very big Infuriating frustration over this issue and I'm not an expert in World religions. Okay, what I'm about to say is told from a place of extra of deep ignorance of some other world religions I think I'm better than the average bear in that in this regard I can tell you I am an expert when it comes to Christianity worldview Occultism and New Ageism because I've had personal experience in those things and I have spent the most time study work and actually leadership in the world of the Judeo-Christian worldview but my best understanding that I've ever found I don't know Any belief system other than atheists and believe it or not Seekism that does not look at a woman's menstrual cycle is something bad. Yeah Seekism specifically says I Looked at him was reading some beautiful things about the fact that they find whether a person's clothes or blood are stained Anything there's nothing whatsoever to make a tribute pollution or uncleanness spiritually or physically to a woman in seekism And and that that's again. I'm not saying I am the the end. I'll be all in that regard, but I do know I've never understood why this natural function of a woman's body that I actually find to be amazing Not dirty in any way shape or form to be Treated like It's unclean unclean. Well and that gets into the other issue and I posted this on my I tweeted this and I Instagram and said if you're seeing this that's related to our review and it has to do with the fact that a lot of the beliefs are Based on things that are superstition. They're not just religious beliefs because superstition is a belief that's maintained Despite evidence to the contrary that is a superstition if you have a belief that's maintained despite evidence to the contrary That that can be relegated into the world of superstition and to take away the human rights of another person Because of a super superstitious belief is about as mind-numbingly Enraging for me as anything I could imagine absolutely and this film had so much to say not only about obviously the patriarchy and women's old Religion and yes in other aspects that that If if whatever you believes infringes upon the rights of somebody else That is wrong. I don't care what it is whether it's religion politics. Yes, or this yeah, or this I love the way it was filmed and I want to get here's two things. There's the first one, right? Then they're laying in bed and he says I have to be Abstinent for this festival period or this this time right and she says can I can I say something without you getting mad? He says what is it and then she says?   It's pretty simple to tell that difference and if okay Just like when she brought up Playfully yeah at the at the restaurant.  Yeah, absolutely discussing You know how I feel about food in general like eating with hands So what he was doing was absolutely abhorrent and the way he treated her Yeah, that was a metaphor for the way he treated. It was actually really brilliant the way it was written because at first This is what it felt like and and they kind of maintained it way But the way and I want to give credit to all the actors everybody especially to dad Saraj The husband and to Namisha Saraj's father and then and Saraj's dad tea Suresh Babu One all three of you were 100% believable the entire tactic But the way that it was written is obviously the dad is the the patriarch of the family Yes, he upholds those terrible views and kind of it was almost like a silent villain Like very okay soft spoken I guess villain because like all the stuff he did nobody really took it offensively outside of internally offensive and then The the husband was more of the you thought he was more of the modern but kind of went along with his dad's Crazy ideas, right, but then right toward the father got along you realize he basically wasn't any different than his dad It was he was basically the same thing He just wasn't as upfront about it right as she was so it was really brilliantly Written and then also all the female characters the ones that came in when she was unclean Oh, she couldn't touch anything And the fact that she then it got even worse and she had to go into another room and Yeah, but then towards that end when she started calling him out and Calling all it was yeah, because it was painful for me to watch when He made her apologize to him right for calling him out, right? Me and my wife were like do not do not apologize. Yes at all And my wife was like could you could you like if you were in that situation could I was like, yeah I could easily call him out because that's just who I am But I can see in her situation why it's incredibly difficult in this society that she's in and and being a woman in that society Yes, why it's incredibly difficult and scary.  Don't treat me like that.  Yeah throws you in a cell Yeah, you know what I mean all in the name of what they believe in their culture, right? And so they like I said this film had a lot to say And that's why I feel any you could even relate to it as an American There's a lot of cultures that not to this extreme of treating women this way But there is to some extent in some cultures the women are still Kind of thought of as the baby makers the cooks. Yes home. Yes. It's obviously Culturally different. There's a there's different scenarios But this is not an uncommon thing that I think every culture could relate to especially as a female could relate to this treatment Just in different ways, right? It's a universal truth an absolute universal universal truth and universal film So I want to commend Geo baby for his writing and directing and I think if this like This set the bar pretty high for new films in 2021 for sure did of like these This is right at the top of just like with parts, you know, that wasn't this year In terms of right right coming out this year But this is my front-runner by a mile currently of and it's the bar set really high for the next film because I Don't have a flaw with this film. Yeah at all there. It's really doesn't have there's a couple of I could be nitpicky About some of the tiny roles. Yeah, some some people who have just what day player walk-on role You know and that would be really wrong to do to the film but the thing that I probably Like most about it is that it among the many messages that it has One of the primary messages that has is the fact that there is a relationship and you just can't deny it There was a relationship between advancement societally technologically industrially and morally and societally, I may have repeated that where Example there was a time where if you had a mental illness, they thought the right thing to do was drill a hole in your Head to let the evil spirit up. Yeah And then we advanced We're so advanced now that we were we would consider somebody doing that to another person for that reason what used to be considered the norm Barbaric, yeah That kind of thing is still happening in the world today Where you take that example and you apply it to the way women were treated 1500 2000 years ago They shouldn't be treated that way anymore anywhere on earth But because there were places that have not had advancements in society or in treatment of women or in human rights Well, even if they have had it their refusal to it's just it would be like going to that place of tradition, right?  Because this is the way we've always done it That's not a good enough reason. Yeah. Yeah, so I thought I thought it was a brilliant because I thought also It was very subtle In in what it uh very because it was a very simple film a very simple film There was hardly any dialogue honestly So I it could have almost been a silent film if if it wanted to be it probably could have been a silent film It could have been you would have gotten the exact same messages out of it But it's incredibly simple, but it also I'm guessing can Especially to a lot of indians that have uh, especially in a more because obviously this family is not the norm It's at least Big cities, I guess norm But I think every indian can almost relate to some part of this And I think everybody you were everybody can somewhere. Yeah Yeah, so I think that's why I said it's incredibly important I think for all indians to see this film because I think it's incredibly one of the most important films we've seen Yeah, for sure in terms of just And I love that it thanked science at the beginning because I I know there's films that we've seen That's that thank god and and do all that kind of stuff, which is I'm not saying that's that's wrong But the fact that it made that That that choice right at the beginning to be like thank you science for the advancements That that it keeps us our our culture progressing. Yes, and moving along. Yeah, so I can't I know I Have nothing but praise for this film me as well And it I if you I'm hoping you're still not here if you haven't watched it Yeah, because man you need to experience this film. It's it's just absolutely brilliant a plus. Yep. I agree It's it's at the top of the list of films that we've seen period. I want to thank uh Molly olem cinema They're usually one of the most one most consistent In terms of their quality and also the subjects the subjects. Yeah subject matter subjects and substance that they try to Put out there for their films. Absolutely. They do a fantastic job Yes, so nothing but praise let us know what you thought of this film down below and let us know What's the next Molly olem film we should watch down below?


Hello everyone and welcome to our next DDW session called Data Trust, Gain Understanding and Confidence in Your Data. That's going to be presented today by Jeff Brown, Director of Data Quality and Analytics at InfoJix. All audience members are muted during these sessions, so please submit your questions in the Q&A window in the right of the screen and our speaker will respond to as many questions as possible at the end of the talk. Please note that there is a linked form at the bottom of the page titled the DDW Conference Session Survey. This is where you can submit session feedback and we encourage you to do so. Also, there is a small icon to the lower right of the screen, which will enlarge this window with the speaker and slides. So with that, let's begin our presentation now. Thank you and welcome, Jeff. Thank you, Eric. So today we're going to talk about data trust and gaining an understanding and confidence in your data. My name is Jeff Brown. I am the Director of Product Management with a focus on data at InfoJix. The agenda that we are talking through today is the concept of trust signal. So we'll be talking about what are some of those external trust signals that we run into in everyday life. What are some key questions to ask in your organization as it relates to data and trust? And then also what are some of those trust signal components that you can embed in your organization to help you gain trust? So trust obviously is a major component to data and being a data consumer. And Gartner has a quote here that is just relevant to data trust, but it really is basically data trust is something that helps business operations. It helps run more efficiently, helps it run smoothly, helps us make better decisions faster with greater confidence. And as we think about trust, we really need to think about how we recognize trust in our everyday lives and how can we then apply it to the data we consume. Oftentimes we are consumers of products, offerings. We have relationships that we build trust in, but how are we actually applying this to the data in our organizations and especially our consumption of that data? So how are we relating these two in our life? So I want to take, for example, in our everyday life, I was introduced as Jeff Brown, director of product management. How do I project trust? How do I build trust with you? So sometimes when we do that, we might say, well, there is a LinkedIn so that you can prove that I'm a real person. I am reaching out in Olive Branch to say, connect with me. Let's build this relationship. Let's build this trust. You might say that's still not enough. So what are some additional trust signals? You might look at trust as a lineage or a pedigree or a data providence so that you can say, well, maybe education factors are building trust in who I am and building the trust between you and I. Maybe there are certifications that you might look at to say, Pragmatic Institute, Toastmasters. These are all trust signals that you use to build trust and to say, do I trust this person, this strange face in a circle on a screen? Well, maybe there are some badges. Maybe you don't know that I'm certified fresh on Rotten Tomatoes. I'm not, but there's a trust factor that's involved there. And then finally, maybe you use titles as a brand of trust. If I had something that was different, maybe you would trust me then. So titles such as King, there are these little trust signals that we build into our everyday lives to assess and compile trust. And how do we do that with data? One of the things that I like to do, and then as I was thinking about presenting and thinking about how do we relate the trust signals in our everyday lives is just building upon food that we consume. So if you are a data consumer, you are comparing data that you want to consume for your purpose to make sure that it is potentially fresh, potentially manufactured or created at a trusted source. You also want to know that maybe this data hasn't been tampered with. Here's a kind of a gross example of, I think this is baby food that has a sketchy type of tape around it. But you also want to identify trust in the things that we consume in our everyday lives with things like misspellings or names that might not fit the mold of the trust that you have in your idea, in your head. Another fake type of trust thing. This is a yearquel that was pulled up. I thought it was kind of funny. Instead of dayquel, yearquel, it was ending 2020 fast. So again, it's these things where you look at something and out of intuition, you have your own trust that's set up. So if we look at maybe quote, so we look at offerings, maybe there are some things that we also are building into trust. This might be too good to be true. If we look at data, maybe the quality is too good to be true. Maybe it's something that you don't trust completely because of something that it's origin or a quote around it that you just don't have trust in it. Trust me, I've been using this for years. Or maybe in the everyday interactions we have trust too. So we pick up a phone call. Do I recognize it? Do I don't recognize it? This is a funny example of you yourself are calling, right? So you're looking at, do I trust this number to have a relationship to build that out? Or is it some place where you're picking up a phone and you're saying, do I trust the other person that is asking me for information? So as data consumers, we're constantly trying to evaluate this, but making it corollary to our everyday lives is going to be critical. If we think about websites, we visit websites every single day before you came to join me. Maybe you were on a website. You look at those websites and you try to understand, maybe I don't trust that because the spelling is off. This was kind of a funny website. Dihydrogen, what is it? Dihydrogen monoxide research, which is really just H2O. So you look at it, that kind of seems funny. As a data consumer, we're looking at validations for trust. We're looking at trusted scores. We also look when we're on websites to look for trust signals around the badges that they bear. So there's a process that maybe this website went through in order to build out consumers trust to give them critical credit card information, to have them buy from them. So as data consumers, for whatever reason, we're consuming data, whether you're building out a data model and you're a data scientist or you're in the finance industry and you're building out quarterly report and you want to be able to take all these different trust signals to combine them and say, can I really trust the data that's being used? Also, can I prove out the trust that is being presented in front of me as well? So there's these sets of questions that I encourage you to ask yourself and to ask of the data before you consume it, just as you would in your everyday life. Ask those simple questions. Does this smell okay? What's the expiration date? But really you can relate that to data as well if you're a consumer of data. So you're looking at how defined and curated is the data. Is there an ability to kind of find the data to centralize the data? Is the data that I'm looking at, is this field? Is it critical? Is it deemed critical by those data stewards? Can I then hold data stewards that are related or own the data accountable? Do I trust that data steward that is actually looking over and curating that data as well? Where does this data even come from? How else is this data being used? Where is it originating from? How fresh is this data? When was the last time this data was updated? So if you continually are asking those questions like before I use this, when was the last time this data set was updated? I've been using it for five years. Is there something that might be more recent or looking at a data set that you're then putting into let's say a marketing campaign or data that you're putting into an analytic model, there might be a difference on consumption. So if you're looking at how you're consuming the data, freshness may not be as relevant if you're let's say a data scientist and you're just looking for a large data set. However, if you are looking at marketing campaigns, contact addresses, people's addresses, that is something where the freshness of it really is important to you and how you are consuming it. Then we get into another layer of the questions that you really should be asking of your data so you can find it, you can see how fresh it is, how is this quality to build out that trust? What is the quality of the data? How is this quality score that I'm being presented? How is this quality score being calculated? How is this quality score being weighted? Oftentimes when we talk to customers and we talk to organizations who are setting up data governance programs, we're setting up data quality initiatives, not programs, they should be programs, they talk about data quality one score for all, but that may not be relevant to somebody who's looking at a quality score that is looking for something different that for their purpose of consumption, they may not care as much about a certain metric or they may think that something should be weighted differently. So if you think of something like completeness of a field or completeness of a data element, that might be important to everyone, but it may not be as important. It may hold less weight to a data scientist, to somebody who's just looking for a sample set of data to get an idea of sales by region, or if somebody might say, I would calculate my rolled up data quality score slightly different, I would have completeness, but consistency and accuracy and patterns are very important to me to make sure that my data is of the highest quality that I consider it. So really when you're looking at silos of data and you're looking at those consumers of the data, data quality is extremely important. It's not just important that you can find the data, but it's also important to be able to roll down to the next level of quality to apply it. And then finally, if you're looking at a set of data and it's being curated and there's metadata around it, are there other people that are looking at this data set too? Has it been reviewed? Is it credible? So just like a product that we would look at on Amazon or on XYZ site, let's look at some of the reviews. Oh, I'm looking at a shoe. It says that the shoe size is typically too small. Okay, well then let's see what else that person has been rated or reviewed. Or if you're looking at a review you're looking at, is this good, is this bad? Oh, they rated it something you're not supposed to use to product that way. So I'm not taking into consideration their review. So they're trying to use a baseball bat as a, something to catch spiders, something that isn't relevant to, I need this data set to have my financial report, to have my audit trail of XYZ, when really no, this is just a data set that I found and I want to share with the world inside of my catalog. So it's asking these types of questions that you should expect answers to in order to build out your data trust. And again, if you are a data driven organization, you really want to be able to answer these questions. You should be able to answer these questions because again, as we talked about in the beginning, building out data trusts helps business operations. You become more efficient and helps you build better, make better decisions faster. So again, these are all characteristics of an organization that can benefit from trusted data and build the trust out into those consumers of data as well. So as we talk, what are some of those critical factors? How can we bucket some of this information? So when we talk about data, we talk about is this data discoverable? So if you think about an entire enterprise of data and an entire ecosystem of data, you want to know, is this data even discoverable? What is out there? So if we look at discoverable, you can hear the questions within your organization and if we were in a room right now, physical room and I would say, raise your hand if you've heard this before from your stakeholders, they would say, I'm not even sure what data we have or where it's at. There's not even a single source of truth that I can trust. So that's oftentimes when we talk to large organizations that we hear that too. I don't know where it's at. I don't know what we have. Even if I know where it's at, I don't trust it. So that there's no real centralized location to catalog to be able to curate metadata. So you need to know about where that data, where the data set lives, where the data sources live, whether it's business data, dictionary definition, policy information that you need to be able to have a centralized location to catalog it, to curate it, to also be able to tag some of these assets too. So when you're looking at discoverability, you need to say, this data also looks like other data. I'm going to tag it. So this data looks like a social security number. Let's tag it so that when you go in and you're looking at, I need a list of social security numbers of XYZ or I need a list of customer ID that's tagged as customer ID. You can then trust it because it's been tagged based on different metrics and different standards before you so that you can then easily consume it. When you look at once you've found the data, let's make sure that you can measure or that there's some statistics around it. So that you know what's there, you found the product that you're looking to consume. Let's have some measurements around it. Maybe what are some of the different calories on it or what are some of the different metrics that you've established as an organization that you've built out trust so that we always typically hear, we have the data, we know where it's at, we have lots of data, but the problem is I have no clue how good this data is. So that's kind of scary, right? That's kind of like going to a supermarket and not knowing how fresh or how good the food is that you're looking to consume. So as a data consumer, you really need to understand what are the metrics that are being measured here at the data that I'm looking to consume and are they relevant to me and are they relevant to the type of consumption that I'm going to do with that data. So as you look at what are the established metrics, is there data quality? Can I understand how good is that data? And then you also want to look at the quality of the governance or the score of the governance around that data set that you're looking to consume as well. And what we mean by a governance score is, is there a data owner? Is there a definition? Is there a certification around the metadata about this representation of a data set that I have, let's say in my catalog? So you want to know how well is it being curated and looked after within my organization? And is there a score there just as you would unravel and go to the next level? What's the quality of the data? So I know how well it's represented and I know how well it's being taken care of. But then for the quality, what does that look like? Let's peel it back and let's actually look, let's get our hands on that data to see what are some of the quality metrics. Let's even look at some of the metrics around profiling of the data. What are the ranges? What is the overall validity of the list of ranges that are in a certain data set or a certain data element as well so that I can better understand the metrics and how they fit my data purpose? Let's also look at traceability. So then you're thinking about going back to traceability and lineage of myself or even of a piece of food. The ultimate data lineage might be farmed at table, right? Because you know where it's being raised. You know maybe what trial it's on, what restaurant it ends up, all tracing it back so that in an organization, we often hear I can find my data. I can see how good it is, but you know I just don't know where this data comes from and even downstream where is it going so that you can see I'm tracking the lineage of my data. I know where it came from. I can see that it came from this source. It came from Salesforce. It came from this field as customer ID. It came, then goes to let's say a data warehouse, then it goes to a data mark and then eventually it ends up on our cloud in the data lake so that you can track lineage of it. Maybe it's an aggregation of data as well so that you can see how is this data being aggregated. Maybe it's four different sources. And then also impact, where does it go from here? What else is it related to it? So that also how do we then determine any related policies and business terms to this data so that you can see that it's traceable as well. I see a question came in and I'll touch on that at the end when we have a few minutes. So then also understanding some of the trust signal components that were mentioned too so that in the discoverable, measurable and traceable what are some of the components to help build out discoverability, measurability and traceability so that when we look at the discoverability we're talking about things like definition. We're talking things that help build trust credibility so things, we found it but what are some of the creditations that are associated with it? Is there accountability as well when we look at measurability data quality metrics we're looking at governance scoring so again we're looking at how does this relate to the measurement of the data and then finally traceability we're looking at impact lineage related assets we're also looking at workflow to see traceability meaning what happens if something changes is there traceability to as a data consumer alert me that that data is changing because I am now depending on it and I'm trusting it based on a previous let's say value of quality previous value of governance score and then last social proof what are some of those comments what are some of those maybe votes up votes down to the data that you're looking at to then consume it when we talk about trust signals at Infigix we offer a product or a platform called data360 that offers data quality, data governance, data analytics so when we look at when we talk to our customers we talk about how are they building out their trust signals how are they building out trust and engaging the consumers to build out trust as well so that we look at things like certification we've got contact email address in our data catalog and we are building out a definition we're making sure that there is a valid description we're looking at things like governance scoring we're looking at things like is this sensitivity do we have a sensitive sensitivity level associated with it oh this is proprietary now I know as a consumer that may not be something that is fit for my use or let's say it's public is this PII, oh this is actually PII I actually don't want to look at this moving forward is it tagged this also looks like it's been tagged for marketing contact email address okay so let's see that there are relevant tags to it I'm building out trust to say is this the right data set that I'm looking for is this the right data element that I'm looking to add as well is there an owner there's a data steward assigned to it okay good so there's all these key signals that you would use in your everyday life as it's related to data you need to start asking these questions when we look at data quality and metrics what is the actual quality of said contact email address as a data set we're looking at things like completeness does this piece of completeness does this completeness score fit my use maybe it does what about consistency how consistent are the fields across this email data asset type in order for me to then trust it for consumption we also look at things like I mentioned for governance scoring how well is this being looked after what are the weights associated with this scoring as well in this example you've got contact email address and you've got a business owner has not been assigned maybe that's something I should take into consideration but you know what data stewards been assigned to this asset to look after it there's a description that's been populated there's a status that has been certified that fits into this data this governance score that may be to my liking and again it builds on to this scoring metric again maybe this is a new score let's look at scores over time to see whether it's been fluctuated whether it's a pretty static type of high score pretty static low score maybe somebody's forgotten about it we also look at things like impact when we take contact email address in the center here what else is it related to is it related to some data quality checks okay that's good what else is it impacting well it's also coming from let's say an SAP field what are some of the other areas what are the relationships that are built on it looking at lineage what are some of the lineage where downstream is it going are there active alerts around my lineage to say I am looking at an asset I'm looking at contact email address that is actively being managed inside of my lineage so that if there's something that falls off or something that changes downstream I can be alerted there are active alerts related to it what are the related assets are the related assets to this data before I consume it oh looks like there are some automated tasks associated with though there's checks for completeness there's checks for validity I'm also looking at things again like workflow who gets notified what are some of those checks and balances in place to see if there's threshold violations because as a data consumer I want to know if there's bad data inside of this data set so that if it falls below a certain level that I'm being notified so that what happens if something changes who is being notified what are the different steps and what are the different threshold limits that are involved too going back to social proof as a trust signal what are some of those signs of social proof we've got Chris Reed here who's looking at it okay he's made a comment Michael Ortman's made a comment on it okay they're looking at they're looking at is this the right contact email address for my consumption so again is there activity around it or is it stale has nothing been touched on it has it not been uploaded have no comments been added to it as well so as we look at key takeaways for our trust signals and how do we apply them we're looking at trust signals and how they vary depending on your consumption and fit for purpose again what is right for your consumption doesn't make sense for the data modeling that I want to do as a data scientist versus I'm looking for a marketing campaign of set email addresses of set of customer lists maybe it's not filled out that's okay but again that may not be okay for regulatory reporting so what are those trust signals according to those lines of business and consumers what are the trust signals that make buying easier to make decisions so again if you treat your consumers of data your businesses and your business users as buyers of data how can I empower the trust signals how can I build out those trust signals for those buyers to trust the data to make it easier so reduces time spent by IT reduces time spent making a decision because you know you can trust your data and then lastly trust signals empower data driven organizations so again if you've got trust signals in place to empower your business users you will then become a data driven organization so I'm going to open it up for questions here and again trust me I've got the credentials I've got the title no I don't I'm just a person speaking at you across the computer so if you have questions please feel free to submit them to the Q&A box and I will get to them we'll take some time now to talk about it I see that a question has come in you mentioned the importance of metrics and data being measurable but will you please explain the role of requirements in your understanding of data quality so again there are lots of different requirements and metrics and dimensions of data quality that are important when you look at strict business requirements those also play an importance to data quality there are some generic potential metrics that you can get from profiling but there's also those business centric requirements that are extremely important to this as well and that gets again to fit for purpose around your metrics that you want to build out with your data governance and data quality program to make sure that you can communicate those requirements appropriately to get them into the trust signal that you want to convey as well so a trust signal might be I need first three digits of customer ID to be numeric they're actually alpha that's a business requirement completeness might be a passive type of requirement but actually a key piece of the requirements in metrics as well also about data quality metrics one of the things that builds trust is making sure that they provide value so what you don't want to do is over requirement your data quality metrics you want to ensure that the metrics that you are tracing align to a corporate strategy align to a corporate goal so that you can directly say we are measuring what is absolutely critical importance so that you're not measuring things that might just be noise and then let's see we've got another question does the tool require business to define data quality specifications to reveal data quality issues so you can either have the business let's say data stewards or the business defined in a governance manner I want to say this field or you want to provide different thresholds you can definitely provide those different types of data quality measurements and different data quality thresholds inside of the tool as well or you can also present profiling statistics and we also have an out of the box set of data quality rules that we find business users say let's start here for email address it must be complete must have an ad signal must have a proper domain those are the different types of data quality issues that can then be conveyed we also have is there a template that can help guide building out the questions to define the trust matrix per se so we do we do we have a set of of a governance framework that can help you best organize and prioritize what are some of those trust signals again trust is the overarching umbrella here right you've got quality that plays into it you've got governance that plays into it but we have a set of professional services that provide a template that can give you exactly what you're looking for and help you prioritize based on again your fit for consumption as well and then last question here is there guidance document some of the types of trust components you've described so again this gets back to being able to define your trust if you visit infigix.com there is and just search in some of the content that we have there as well there are some documents and some white papers that we have that help you build out and kick off governance programs to kick off data quality initiatives so we don't have one per se to say this is the exact trust for you because it is different right so there could be a set of foundational type of requirements that are universal across organizations but really it's asking of you what are your trust signals that you can build into your organization based on feedback from the business based on feedback from the science program as well to help build in those metrics and then to help curate all that metadata so they can discover it measure it and then ultimately trace it as well Jeff thank you so much I am afraid we are out of time or should I call you your highness we appreciate the great presentation thanks to our attendees for tuning in for your great questions please complete your conference session survey on the page for this session the keynote session with Danette McGovery and Ron Ross will start in about 15 minutes thanks again Jeff thanks everyone thank you


CHAPTER 41. Free at last. Mrs. Bruce and every member of her family were exceedingly kind to me. I was thankful for the blessings of my lot, yet I could not always wear cheerful countenance. I was doing harm to no one. On the contrary, I was doing all the good I could in my small way, yet I could never go out to breathe God's free air without trepidation at my heart. This seemed hard, and I could not think it was a right state of things in any civilized country. From time to time I received news from my good old grandmother. She could not write, but she employed others to write for her. The following is an extract from one of her last letters. Dear daughter, I cannot hope to see you again on earth, but I pray to God to unite us above, where pain will no more rack this feeble body of mine, where sorrow and parting from my children will be no more. God has promised these things if we are faithful unto the end. My age and feeble health deprive me of going to church now, but God is with me here at home. Thank your brother for his kindness. Give much love to him, and tell him to remember the Creator in the days of his youth, and strive to meet me in the Father's kingdom. Love to Ellen and Benjamin. Don't neglect him. Tell him for me to be a good boy. Strive my child to train them for God's children. May he protect and provide for you, is the prayer of your loving old mother. These letters both cheered and saddened me. I was always glad to have tidings from the kind, faithful old friend of my unhappy youth, but her messages of love made my heart yearn to see her before she died, and I mourned over the fact that it was impossible. Some months after I returned from my flight to New England, I received a letter from her in which she wrote, Dr. Flint is dead. He has left a distressed family. Poor old man! I hope he made his peace with God. I remembered how he had defrauded my grandmother of the hard earning she had loaned, how he had tried to cheat her out of the freedom her mistress had promised her, and how he had persecuted her children, and I thought to myself that she was a better Christian than I was if she could entirely forgive him. I cannot say with truth that the news of my old master's death softened my feelings toward him. There are wrongs which even the grave does not bury. The man was odious to me while he lived, and his memory is odious now. His departure from this world did not diminish my danger. He had threatened my grandmother that his heirs should hold me in slavery after he was gone, that I never should be free so long as a child of his survived. As for Mrs. Flint, I had seen her in deeper afflictions than I suppose the loss of her husband would be, for she had buried several children, yet I never saw any signs of softening in her heart. The doctor had died in embarrassed circumstances, and had little to wilt his heirs, except such property as he was unable to grasp. I was well aware what I had to expect from the family of Flint's, and my fears were confirmed by a letter from the south, warning me to be on my guard, because Mrs. Flint openly declared that her daughter could not afford to lose so valuable a slave as I was. I kept close watch of the newspapers for arrivals, but one Saturday night, being much occupied, I forgot to examine the evening express as usual. I went down into the parlor for it early in the morning, and found the boy about to kindle a fire with it. I took it from him and examined the list of arrivals. Reader, if you have never been a slave, you cannot imagine the acute sensation of suffering at my heart when I read the names of Mr. and Mrs. Dodge at a hotel in Cortland Street. It was a third-rate hotel, and that circumstance convinced me of the truth of what I had heard, that they were short of funds and had need of my value, as they valued me, and that was by dollars and cents. I hastened with the paper to Mrs. Bruce. Her heart and hand were always open to everyone in distress, and she always warmly sympathized with mine. It was impossible to tell how near the enemy was. He might have passed and repast the house while we were sleeping. He might at that moment be waiting to pounce upon me if I ventured out of doors. I had never seen the husband of my young mistress, and therefore I could not distinguish him from any other stranger. A carriage was hastily ordered, and closely veiled I followed Mrs. Bruce, taking the baby again with me into exile. After various turnings and crossings and returnings, the carriage stopped at the house of one of Mrs. Bruce's friends, where I was kindly received. Mrs. Bruce returned immediately to instruct the domestics what to say if any one came to inquire for me. It was lucky for me that the evening paper was not burned up before I had a chance to examine the list of arrivals. It was not long after Mrs. Bruce's return to her house, before several people came to inquire for me. One inquired for me, another asked for my daughter Ellen, and another said he had a letter from my grandmother, which she was requested to deliver in person. They were told, she has lived here, but she has left. How long ago? I don't know, sir. Do you know where she went? I do not, sir. And the door was closed. This Mr. Dodge, who claimed me as his property, was originally a Yankee peddler in the south. Then he became a merchant, and finally a slave-holder. He managed to get introduced into what was called the First Society, and married Miss Emily Flint. A quarrel arose between him and her brother, and the brother cowhided him. This led to a family feud, and he proposed to remove to Virginia. Dr. Flint left him no property, and his own means had become circumscribed, while a wife and a children depended upon him for support. Under these circumstances it was very natural that he should make an effort to put me into his pocket. I had a colored friend, a man from my native place, in whom I had the most implicit confidence. I sent for him and told him that Mr. and Mrs. Dodge had arrived in New York. I proposed that he should call upon them to make inquiries about his friends at the south, with whom Dr. Flint's family were well acquainted. He thought there was no impropriety in his doing so, and he consented. He went to the hotel and knocked to the door of Mr. Dodge's room, which was opened by the gentleman himself, who gruffly inquired, what brought you here? How came you to know I was in the city? Your arrival was published in the evening papers, sir, and I called to ask Mrs. Dodge about my friends at home. I didn't suppose it would give any offence. Where's that negro girl that belongs to my wife? What girl, sir? You know well enough, I mean Linda, that ran away from Dr. Flint's plantation some years ago. I dare say you've seen her and know where she is. Yes, sir, I've seen her and know where she is. She is out of your reach, sir. Tell me where she is or bring her to me, and I will give her a chance to buy her freedom. I don't think it would be of any use, sir. I have heard her say she would go to the ends of the earth rather than pay any man or woman for her freedom, because she thinks she has a right to it. Besides, she couldn't do it if she would, for she has spent her earnings to educate her children. This made Mr. Dodge very angry, and some high words passed between them. My friend was afraid to come where I was, but in the course of the day I received a note from him. I suppose they had not come from the south in the winter for a pleasure excursion, and now the nature of their business was very plain. Mrs. Bruce came to me and entreated me to leave the city the next morning. She said her house was watched, and it was possible that some clue to me might be obtained. I refused to take her advice. She pleaded with an earnest tenderness that ought to have moved me, but I was in a bitter, disheartened mood. I was weary of flying from pillar to post. I had been chased during half my life, and it seemed as if the chase was never to end. There I sat in that great city, guiltless of crime, and yet not daring to worship God in any of the churches. I heard the bells ringing for afternoon service, and with contemptuous sarcasm I said, Will the preachers take for their text proclaim liberty to the captive in the opening of prison doors to them that are bound? Or will they preach from the text, do unto others as you would have them do unto you? Oppressed, Poles and Hungarians could find a safe refuge in that city. John Mitchell was free to proclaim in the city hall his desire for a plantation well stocked with slaves. But there I sat, an oppressed American, not daring to show my face. God forgive the black and bitter thoughts I indulged on that Sabbath day. The scripture says, Oppression makes even a wise man mad, and I was not wise. I had been told that Mr. Dodd and his wife had never signed away her right to my children, and if he could not get me, he would take them. This it was, more than anything else, that roused such a tempest in my soul. Benjamin was with his uncle William in California, but my innocent young daughter had come to spend the vacation with me. I thought of what I had suffered in slavery at her age, and my heart was like a tiger's when a hunter tries to seize her young. Dear Mrs. Bruce! I seemed to see the expression of her face as she turned away, discouraged by my obstinate mood. Finding her expostulations unavailing, she sent Ellen to entreat me. When ten o'clock in the evening arrived and Ellen had not returned, this watchful and unwearyed friend became anxious. She came to us in a carriage, bringing a well-filled trunk for my journey, trusting that by this time I would listen to reason. I yielded to her, as I ought to have done before. The next day, baby and I set out on a heavy snowstorm, bound for New England again. I received letters from the city of Iniquity, addressed to me under an assumed name. In a few days one came from Mrs. Bruce, informing me that my new master was still searching for me, and that she intended to put an end to this persecution by buying my freedom. I felt grateful for the kindness that prompted this offer, but the idea was not so pleasant to me as might have been expected. The more my mind had become enlightened, the more difficult it was for me to consider myself an article of property, and to pay money to those who had so grievously oppressed me seemed like taking from my sufferings the glory of triumph. I wrote to Mrs. Bruce, thanking her, but saying that being sold from one owner to another seemed too much like slavery, that such a great obligation could not be easily cancelled, and that I preferred to go to my brother in California. Without my knowledge, Mrs. Bruce employed a gentleman in New York to enter into negotiations with Mr. Dodge. He proposed to pay three hundred dollars down if Mr. Dodge would sell me, and enter into obligations to relinquish all claim to me or my children forever after.  The gentleman replied, You can do as you choose, sir. If you reject this offer you will never get anything, for the woman has friends who will convey her and her children out of this country. Mr. Dodge concluded that, half a loaf was better than no bread, and he agreed to the proffered terms. By the next mail I received this brief letter from Mrs. Bruce. I am rejoiced to tell you that the money for your freedom has been paid to Mr. Dodge. Come home to-morrow. I long to see you and my sweet babe. My brain reeled as I read these lines. A gentleman near me said, It's true, I have seen the Bill of Sale. The Bill of Sale. Those words struck me like a blow. So I was sold at last. A human being sold in the free city of New York. The Bill of Sale is on record, and future generations will learn from it that women were articles of traffic in New York late in the nineteenth century of the Christian religion. It may, hereafter, approve a useful document to antiquaries, who are seeking to measure the progress of civilization in the United States. I well know the value of that bit of paper, but much as I love freedom, I do not like to look upon it. I am deeply grateful to the generous friend who procured it, but I despise the miscreant who demanded payment for what never rightfully belonged to him or his. I had objected to having my freedom bought, yet I must confess that when it was done I felt as if a heavy load had been lifted from my weary shoulders. When I rode home in the cars I was no longer afraid to unveil my face and look at people as they passed. I should have been glad to have met Daniel Dodge himself, to have had him seen me and know me, that he might have mourned over the untoward circumstances which compelled him to sell me for three hundred dollars. When I reached home the arms of my benefactress were thrown round me and our tears mingled. As soon as she could speak she said, Oh Linda, I am so glad it's all over. You wrote to me as if you thought you were going to be transferred from one owner to another, but I did not buy you for your services. I should have done just the same if you had been going to sail for California to-morrow. I should at least have the satisfaction of knowing that you left me a free woman. My heart was exceedingly full. I remembered how my poor father had tried to buy me when I was a small child, and how he had been disappointed. I hoped his spirit was rejoicing over me now. I remember how my good old grandmother had laid up her earnings to purchase me in later years, and how often her plans had been frustrated. How that faithful, loving old harp would leap for joy if she could look on me and my children now that we were free. My relatives had been foiled in all their efforts, but God had raised me up a friend among strangers, who had bestowed on me the precious, long-desired boon. Friend. It is a common word, often lightly used, like other good and beautiful things it may be tarnished by careless handling, but when I speak of Mrs. Bruce as my friend, the word is sacred. My grandmother lived to rejoice in my freedom, but not long after a letter came with a black seal. She had gone where the wicked cease from troubling, and the weary are at rest. Time passed on, and a paper came to me from the south, containing an obituary notice of my Uncle Philip. It was the only case I ever knew of such an honour conferred upon a coloured person. It was written by one of his friends, and contained these words. Now that death has laid him low, they call him a good man and a useful citizen. But what are eulogies to the black man, when the world has faded from his vision? It does not require man's praise to obtain rest in God's kingdom. So they called a coloured man a citizen. Strange words to be uttered in that region. Reader, my story ends with freedom. Not in the usual way, with marriage. I and my children are now free. We are as free from the power of slaveholders as are the white people of the north. And though that, according to my ideas, is not saying a great deal, it is a vast improvement in my condition. The dream of my life is not yet realised. I do not sit with my children in a home of my own. I still long for a hearthstone of my own, however humble. I wish it for my children's sake far more than for my own. But God so orders circumstances as to keep me with my friend Mrs. Bruce. Love, duty, gratitude also bind me to her side. It is a privilege to serve her who pities my oppressed people, and who has bestowed the inestimable boon of freedom on me and my children. It has been painful to me in many ways to recall the dreary years I passed in bondage. I would gladly forget them if I could. Yet the retrospection is not altogether without solace, for with those gloomy recollections come tender memories of my good old grandmother, like light, fleecy clouds floating over a dark and troubled sea. The following statement is from Amy Post, a member of the Society of Friends in the State of New York, well known and highly respected by friends of the poor and the oppressed. As has been already stated in the preceding pages, the author of this volume spent some time under her hospitable roof. The author of this book is my highly esteemed friend. If its readers knew her as I know her, they could not fail to be deeply interested in her story. She was a beloved inmate of our family, nearly the whole of the year 1849. She was introduced to us by her affectionate and conscientious brother, who had previously related to us some of the almost incredible events in his sister's life. I immediately became much interested in Linda, for her appearance was prepossessing, and her deportment indicated remarkable delicacy of feeling and purity of thought. As we became acquainted, she related to me from time to time some of the incidents in her bitter experiences as a slave-woman. Though impelled by a natural craving for human sympathy, she passed through a baptism of suffering, even in recounting her trials to me, in private confidential conversations. The burden of these memories lay heavily upon her spirit, naturally virtuous and refined. I repeatedly urged her to consent to the publication of her narrative, for I felt that it would arouse people to a more earnest work for the disenthrallment of millions still remaining in that soul-crushing condition which was so unendurable to her. But her sensitive spirit shrank from publicity. She said, You know a woman can whisper her cruel wrongs in the ear of a dear friend much easier than she can record them for the world to read. Even in talking with me, she wept so much and seemed to suffer such mental agony that I felt her story was too sacred to be drawn from her by inquisitive questions, and I left her free to tell as much or as little as she chose. Still, I urged upon her the duty of publishing her experience, for the sake of the good it might do, and at last she undertook the task.  She is obliged to earn her living by her own labor, and she has worked untiringly to procure education for her children. Several times she has been obliged to leave her employments in order to fly from the man-hunters and woman-hunters of our land, but she pressed through all these obstacles and overcame them. After the labours of the day were over, she traced secretly and weirdly by the midnight lamp a truthful record of her eventful life. This empire-state is a shabby place of refuge for the oppressed. But here, through anxiety, turmoil, and despair, the freedom of Linda and her children was finally secured by the exertions of a generous friend. She was grateful for the boon, but the idea of having been bought was always galling to a spirit that could never acknowledge itself to be a chattel. She wrote to us thus, soon after the event. I thank you for your kind expressions in regard to my freedom, but the freedom I had before the money was paid was dearer to me. God gave me that freedom, but man put God's image in the scales with the paltry sum of three hundred dollars. I served for my liberty as faithfully as Jacob served for Rachel. At the end he had large possessions, but I was robbed of my victory. I was obliged to resign my crown, to rid myself of a tyrant. Her story, as written by herself, cannot fail to interest the reader. It is a sad illustration of the condition of this country which boasts of its civilization while it sanctions laws and customs which make the experiences of the present more strange than any fictions of the past. Amy Post. Rochester, New York. October 30th, 1859 The following testimonial is from a man who is now a highly respectable colored citizen of Boston—L.M.C. This narrative contains some incidents so extraordinary, that doubtless many persons, under whose eyes it may chance to fall, will be ready to believe that it is colored highly to serve a special purpose. But however it may be regarded by the incredulous, I know that it is full of living truths. I have been well acquainted with the author from my boyhood. The circumstances recounted in her history are perfectly familiar to me. I knew of her treatment from her master, of the imprisonment of her children, of their sale and redemption, of her seven years' concealment, and of her subsequent escape to the north. I am now a resident of Boston, and am a living witness to the truth of this interesting narrative. George W. Lauder. End of Appendix. End of Incidents in the Life of a Slave Girl.