This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.
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I'm happy to announce the release of the interface to Julia programming language for InterSystems IRIS. Execute Julia code and more from InterSystems IRIS.
This project brings you the power of Julia right into your InterSystems IRIS environment:
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Anyone who has (near or distant, with a preference for the 1st option) knowledge of the use of Amazon QuickSight with IRIS is invited to share his|her experience in this discussion.
In Episode 7 of Data Points, product manager @Carmen Logue joined the pod to tell us all about InterSystems Reports — the new reporting feature of InterSystems IRIS! Take a listen to hear about its capabilities, use cases, and how it fits into the existing set of analytics technologies.
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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.
I have an SDA feed from an Edge server that eventually is fed into HSHI / Analytics. This edge server is loading up patient demographics (in the Patient object), which feeds the HSAA.Patient table in HSHI / Analytics.
However, we have other edge servers also feeding into the same HSHI database, and these other edge servers have better demographic information.
Users of analytical applications often need to generate and send out PDF reports comprised of elements of the analytical panel. In the InterSystems stack, this task is solved using the DSW Reports project that is an extension of DeepSeeWeb. In this article, we will explain how to use DSW Reports for generating PDF reports and emailing them.
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 want to have a generic PercentOfAll measure that can be used for any dimension of the cube. This PercentOfAll should act like Count, but instead of showing the number of rows in a cell, it will show the percentage (100*number of rows for that member/all rows) .It should not matter what dimension is being viewed. Ex
There are a total of 100 rows in the source class.
Here're the technology bonuses for the InterSystems Analytics contest that will give you extra points in the voting.
Adaptive Analytics (AtScale) Cubes usage - 4 points InterSystems Adaptive Analytics provides the option to create and use AtScale cubes for analytics solutions.
You can use the AtScale server we set up for the contest (URL and credentials can be collected in the Discord Channel) to use cubes or create a new one and connect to your IRIS server via JDBC.
The visualization layer for your Analytics solution with AtScale can be crafted with Tableau, PowerBI, Excel, or Logi.
My group and I are currently doing a research project on natural language processing and iKnow plays a big role in this project. I am aware that the algorithms iKnow use aren't public, and I respect that.
My question is, are there any public documents/research that explains, at least part of, the algorthims iKnow uses and the motivations for using them?
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A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since then I referred to it more frequently than my own scratchpad hidden deep in my PC. Hence, here comes up another 5-minute note on how to make "Python ODBC connection into IRIS".
We recently published a new White Paper on the use of reporting nodes ("asynchronous reporting mirror members" in full) in a mirrored environment. More and more customers are looking into this mechanism as a quick and easy way to set up a copy of their production data that stays current, yet can be used for analytical querying or heavy-duty reporting workloads without impacting the source system. Read the White Paper here.
I have a series of data organized by time (year and month) so I can use a time dimension to drill down data. So far so good.
However, I need to display the data not by calendar years and months but rather by seasons. The season has 12 calendar months but starts in September. So I'd like to see the data from September / Year N to August / Year N+1 using the same hierarchy as normal time dimension.
Has anyone done something similar?
Obviously, the season can start by any month, not only September :)
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With the improvement of living standards, people pay more and more attention to physical health. And the healthy development of children has become more and more a topic of concern for parents. The child's physical development can be reflected from the child's height and weight. Therefore, it is of great significance to predict the height and weight in a timely manner.
System Monitor is a flexible and highly configurable tool supplied with Caché (Ensemble, HealthShare), which collects the essential metrics of the operating system and Caché itself. System Monitor also notifies administrators about issues with Caché and the operating system, when one or several parameters reach the admin-defined thresholds.
As we announced at our Global Summit in October, we are developing dedicated connectors for a number of third-party data visualization tools for InterSystems IRIS. With these connectors, we want to combine an excellent user experience with optimal performance when using those tools to visualize data managed on InterSystems IRIS Data Platform.
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