{"action":"created","comment":{"url":"https://api.github.com/repos/28msec/www.28.io/pulls/comments/27869181","id":27869181,"diff_hunk":"@@ -0,0 +1,110 @@\n+<!--\n+{\n+    \"title\": \"A Customer Show Case: NTT DATA\",\n+    \"updated\": \"2015-04-02T08:00:00Z\",\n+    \"tags\": [\"xbrl\", \"cell stores\", \"Japan\", \"FSA\"],\n+    \"image\": \"/images/blog/hypercube.png\",\n+    \"author\": \"gfourny\"\n+}\n+-->\n+\n+When we designed the cell store paradigm and technology, we were driven by the fiscal filings\n+(yearly and quarterly reports) submitted to the SEC. However, during this entire process,\n+we had in mind that both the paradigm and the code needed to be generic, so that we could then\n+handle other flavors of XBRL data.\n+\n+<!-- more -->\n+\n+Recently, we had a great opportunity to validate that such was the case. One of our customers,\n+NTT DATA, was facing the challenge of dealing with all the data filed by Japanese companies to\n+the [EDINET](http://disclosure.edinet-fsa.go.jp/) (Electronic Disclosure for Investors' Network) and [TDnet](https://www.release.tdnet.info/inbs/I_main_00.html)\n+repositories (Timely Disclosure Network).\n+\n+This project was successfully completed in a just a few months, and we would like to show you why and how the cell store\n+allowed us to efficiently extract information from these filings and help NTT DATA take XBRL to the next level.\n+\n+In this post, we have a simple use case: plot, for a company, the evolution of its assets over the last few years -- non-consolidated and consolidated (two curves). This is something that is easy to do with a cell store, with a single query (the latest link) that goes across several filings, that use several taxonomies. The explanations guide you on the reasoning towards building this link, on a high-level.\n+\n+One Terabyte of Heterogeneous Data\n+==================================\n+\n+With EDINET and TDnet data, we travelled to scales even greater that those we encountered with the SEC: we crossed the\n+terabyte boundary, and built a repository that contains:\n+- More than 440,000 filings filed by more than 13,000 companies\n+- 3,200,000 components (which can be seen as static hypercubes or renderings : balance sheets, income statements, cash flow statements, etc)\n+- 108,000,000 facts\n+\n+Why is so hard to extract information from this data with state-of-the-art technologies? EDINET and TDnet data is a very nice\n+use case for data that is heterogeneous, mainly for two reasons:\n+\n+1. The data comes from two authorities (EDINET, TDnet), who have their own taxonomies, dimensions, etc. In the example below though, we will only use EDINET (but we have use cases for using both as well!).\n+2. Also within each of these, the taxonomy changes as time goes. In 2013, there was even a significant move to the so-called \"next-generation\" taxonomies, which involved major changes, notably a more modern handling of XBRL dimensions.\n+\n+A Balance Sheet Example\n+=======================\n+\n+Let's get started. There will be a lot of links that you can just click on. Keep in mind that, whenever you click on one, a hypercube query will get executed in *real time* on our platform. We did not cache or pre-compute anything. If you are interested in all the details of the API, you can read the documentation [here](http://28msec.github.io/cellstore/) and build your own hypercubes! It will be no slower than these links.\n+\n+##Next-Generation Taxonomy\n+\n+Let us begin by looking at a consolidated balance sheet, with the next-generation taxonomy.\n+\n+Here is a rendering of a consolidated balance sheet:\n+\n+http://edinet.28.io/v1/_queries/public/api/spreadsheet-for-component.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&aid=S10024AY&format=html&role=http%3A%2F%2Fdisclosure.edinet-fsa.go.jp%2Frole%2Fjppfs%2Frol_ConsolidatedBalanceSheet&profile-name=japan&eliminate=true\n+\n+And a more \"raw\" fact table thereof:\n+\n+http://edinet.28.io/v1/_queries/public/api/facttable-for-component.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&aid=S10024AY&format=html&role=http%3A%2F%2Fdisclosure.edinet-fsa.go.jp%2Frole%2Fjppfs%2Frol_ConsolidatedBalanceSheet&profile-name=japan&eliminate=true&labels=true\n+\n+You can see that this data is highly structured: it's a crystalized hypercube.\n+\n+We can also build our own hypercube and only look at assets:\n+\n+http://edinet.28.io/v1/_queries/public/api/facts.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&edinetcode=E04147&concept=jppfs-cor:Assets&format=html&jppfs-cor:ConsolidatedOrNonConsolidatedAxis=jppfs-cor:ConsolidatedMember&jppfs-cor:ConsolidatedOrNonConsolidatedAxis::default=jppfs-cor:ConsolidatedMember&aid=S10024AY&labels\n+\n+But now, since are are in control of the hypercube, we can throw in the non-consolidated assets:\n+\n+http://edinet.28.io/v1/_queries/public/api/facts.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&edinetcode=E04147&concept=jppfs-cor:Assets&format=html&jppfs-cor:ConsolidatedOrNonConsolidatedAxis=jppfs-cor:NonConsolidatedMember&jppfs-cor:ConsolidatedOrNonConsolidatedAxis=jppfs-cor:ConsolidatedMember&jppfs-cor:ConsolidatedOrNonConsolidatedAxis::default=jppfs-cor:ConsolidatedMember&aid=S10024AY&labels\n+\n+You can distinguish between consolidated and non-consolidated in the column called (not so surprisingly) \"Consolidated or non-consolidated\".\n+\n+##Older Taxonomy\n+\n+Let us now have a look at the old taxonomy, which handles consolidation a bit differently.\n+\n+Here is a rendering of a non-consolidated balance sheet:\n+\n+http://edinet.28.io/v1/_queries/public/api/spreadsheet-for-component.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&aid=S000DLIV&format=html&role=http%3A%2F%2Finfo.edinet-fsa.go.jp%2Fjp%2Ffr%2Fgaap%2Frole%2FNonConsolidatedBalanceSheets&profile-name=japan&eliminate=true&validate=true\n+\n+And the fact table:\n+\n+http://edinet.28.io/v1/_queries/public/api/facttable-for-component.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&aid=S000DLIV&format=html&role=http%3A%2F%2Finfo.edinet-fsa.go.jp%2Fjp%2Ffr%2Fgaap%2Frole%2FNonConsolidatedBalanceSheets&profile-name=japan&eliminate=true&validate=true\n+\n+If we now want the assets only, you can as well:\n+\n+http://edinet.28.io/v1/_queries/public/api/facts.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&edinetcode=E04147&concept=jp-t-cte:Assets&format=html&xbrl:Scenario=ALL&xbrl:Scenario::default=Consolidated%20[Member]&labels&aid=S000DLIV\n+\n+This link already goes across consolidated or non-consolidated assets. You can distinguish between consolidated and non-consolidated in the column called \"Scenario [Axis]\". Why? Because this is the \"old way\" of stamping them.\n+\n+With the old taxonomies, there are several years available that use the same model: why do we not ask for all of them?\n+\n+http://edinet.28.io/v1/_queries/public/api/facts.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&edinetcode=E04147&concept=jp-t-cte:Assets&format=html&xbrl:Scenario=ALL&xbrl:Scenario::default=Consolidated%20[Member]&labels&fiscalPeriod=FY&fiscalYear=ALL\n+\n+##Across taxonomies\n+\n+With the cell store, we can merge all these hypercubes together, old or new taxonomy does not matter, even if they use different dimensions, different concept names, etc:\n+\n+http://edinet.28.io/v1/_queries/public/api/facts.jq?token=c3049752-4d35-43da-82a2-f89f1b06f7a4&edinetcode=E04147&concept=jppfs-cor:Assets&concept=jp-t-cte:Assets&format=html&xbrl:Scenario=ALL&xbrl:Scenario::default=Consolidated%20[Member]&labels&fiscalPeriod=FY&fiscalYear=ALL&jppfs-cor:ConsolidatedOrNonConsolidatedAxis=jppfs-cor:NonConsolidatedMember&jppfs-cor:ConsolidatedOrNonConsolidatedAxis=jppfs-cor:ConsolidatedMember&jppfs-cor:ConsolidatedOrNonConsolidatedAxis::default=jppfs-cor:ConsolidatedMember\n+\n+You can see that there are two colums that indicate consolidation.\n+\n+What happened here? The crucial feature that allowed us to merge these hypercubes together, live, is called \"default dimension values\". In a nutshell, each of these two dimensions has a default value of \"Consolidated\". In other words, facts corresponding to consolidated data will *not* be stamped with these dimensions. So, if both of they say consolidated, then the assets are consolidated.\n+\n+For facts that are non-consolidated, it takes just a bit more of your thinking. Such facts will be stamped as non-consolidated against *one* of the two dimension -- it all depends on whether it is in the *old* or the *next-gen* taxonomy. The other dimension (which has no semantics) will just bear its default value (consolidated), which you can ignore. So if any of them says non-consolidated, then the assets are non-consolidated.\n+\n+Nothing some two-liner post-processing code can't handle... Throw all this data onto a graph... and you got a beautiful summary the East Japan Railway Company's assets across all reported years.\n+\n+There is one more thing: the reader with a good eye will have noticed that the output of this last link has (matching) duplicates: this is a called a collision. This is because these values were reported at several places (EDINET and TDnet). However, cell stores are resilient and handle collisions elegantly, that is, at worst a warning is shown.","path":"app/data/blog/nttdata-show-case.txt","position":108,"original_position":108,"commit_id":"ffaddb3f8621034a051252357243caa38158d73e","original_commit_id":"ffaddb3f8621034a051252357243caa38158d73e","user":{"login":"dknochen","id":1012324,"avatar_url":"https://avatars.githubusercontent.com/u/1012324?v=3","gravatar_id":"","url":"https://api.github.com/users/dknochen","html_url":"https://github.com/dknochen","followers_url":"https://api.github.com/users/dknochen/followers","following_url":"https://api.github.com/users/dknochen/following{/other_user}","gists_url":"https://api.github.com/users/dknochen/gists{/gist_id}","starred_url":"https://api.github.com/users/dknochen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dknochen/subscriptions","organizations_url":"https://api.github.com/users/dknochen/orgs","repos_url":"https://api.github.com/users/dknochen/repos","events_url":"https://api.github.com/users/dknochen/events{/privacy}","received_events_url":"https://api.github.com/users/dknochen/received_events","type":"User","site_admin":false},"body":"The edinet filing S10024AY alone contains 2 Facts for jppfs-cor:Assets. We should note that","created_at":"2015-04-07T11:22:24Z","updated_at":"2015-04-07T11:22:24Z","html_url":"https://github.com/28msec/www.28.io/pull/80#discussion_r27869181","pull_request_url":"https://api.github.com/repos/28msec/www.28.io/pulls/80","_links":{"self":{"href":"https://api.github.com/repos/28msec/www.28.io/pulls/comments/27869181"},"html":{"href":"https://github.com/28msec/www.28.io/pull/80#discussion_r27869181"},"pull_request":{"href":"https://api.github.com/repos/28msec/www.28.io/pulls/80"}}},"pull_request":{"url":"https://api.github.com/repos/28msec/www.28.io/pulls/80","id":32422302,"html_url":"https://github.com/28msec/www.28.io/pull/80","diff_url":"https://github.com/28msec/www.28.io/pull/80.diff","patch_url":"https://github.com/28msec/www.28.io/pull/80.patch","issue_url":"https://api.github.com/repos/28msec/www.28.io/issues/80","number":80,"state":"open","locked":false,"title":"[Do not merge] Show 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