This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.
When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.
When creating pivots in DeepSee, there is the ability to group date dimensions by Day, Week, Month, Quarter, Year. For some of our reporting the Week option is desired. However the display looks like the image shown below. Notice the "YYYYW##" formatting.
Is there any ability within DeepSee to modify the display of grouped week dates? E.g. instead of 2020W14 it could be 03/30/2020-04/05-2020, or even just the start or end date, etc.
Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.
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I have recently studied deepsee and developed few dashboards needed for our web app users. I am trying to embed them in our existing web app which uses angular with delegated user access. I need to embed the native IRIS dashboard into it. ( I can't use Highcharts or any other js tools).
How do I setup the dashboards to work with delegated authentication (Without providing access to management portal or other parts) ? Also should I use the default csp/{Namespace}/_DeepSee.UserPortal.DashboardViewer.zen? or any other web application URL ?
We have received quite a lot of interest in using SQL on FHIR data. As you know, FHIR data is encoded in the form of a complex directed graph, and thus you can not easily query it with traditional SQL queries or business intelligence tools. Some customers have noticed that the "FHIR search tables" in IRIS for Health have flattened part of the FHIR graph, and have tried to use them for analytics. This is an undocumented and unsupported part of IRIS for Health, and can change without notice.
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When we have to predict the value of a categorical (or discrete) outcome we use logistic regression. I believe we use linear regression to also predict the value of an outcome given the input values.
Then, what is the difference between the two methodologies?
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Web Crawling is a technique used to extract root and related content (HTML, Videos, Images, etc.) from websites to your local disk. This is allows you apply NLP to analyze the content and get important insights. This article detail how to do web crawling and NLP.
Today, is important analyze the content into portals and websites to get informed, analyze the concorrents, analyze trends, the richness and scope of content of websites. To do this, you can alocate people to read thousand of pages and spend much money or use a crawler to extract website content and execute NLP on it. You will get all necessary insights to analyze and make precise decisions in a few minutes.
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On this webinar, we’ll demo the iris-analytics-template and answer the questions on how to develop, build, and deploy Analytics applications using InterSystems IRIS.
Date & Time: Monday, December 7 — 12:00 PM EDT
Speakers: 🗣 @Carmen Logue, InterSystems Product Manager - Analytics and AI 🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager
InterSystems IRIS Business Intelligence provides the Cube Registry as an interface for managing and scheduling build and synchronize tasks for your cubes.
According IDC, 80% of all data produced are NoSQL. See:
There are digital documents, scanned documents, online and offline texts, blob content into SQL, images, videos and audio. Imagine a Corporate Analytics initiative without all these data to analyze and support decisions?
In all the world, many projects are using techonologies to transform these NoSQL data into textual content, to allows analyze it. See:
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