IRIS BI

We offer you to embed business intelligence into your applications in order to give your users an opportunity to ask and answer sophisticated questions about their data. Typically, your application will include customizable dashboards that can provide insight into data from Business Intelligence models known as cubes.

In contrast with traditional BI systems that use static data warehouses, Business Intelligence keeps being constantly synchronized with the live transactional data.

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Article
Evgeniy Potapov · Nov 15 6m read
How to develop in Logi

Today we will talk about InterSystems Reports. This is a BI system that provides you with tools to create static reports and export them to different file formats. We will see how it works using the DC Analytics public analytical sample as an example. In this article, we will examine how to familiarize yourself with the reports available in the repository, how to make a new report based on a ready-made data structure, and how to prepare a data structure from scratch.

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I would like to define an advanced filter within my pivot table that allows me to look at diagnosis codes, or at procedure codes - but I do not want to hard code values within the pivot table definition (get the %OR defined).

I would like to be able to allow my dashboard user to chose what specific diagnosis codes or procedure codes they are interested in. So for example one user may want to look for # of patients with cancer dx or patients who have had a radiation procedure.

How can I accomplish this OR feature using dashboard filters?

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Today we will talk about Adaptive Analytics. This is a system that allows you to receive data from various sources with a relativistic data structure and create OLAP cubes based on this data. This system also provides the ability to filter and aggregate data and has mechanisms to speed up the work of analytical queries.

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Article
Pran Mukherjee · Oct 24 7m read
PerfTools IO Test Suite

Purpose

This pair of tools (RanRead and RanWrite) is used to generate random read and write events within a database (or pair of databases) to test Input/Output operations per second (IOPS). They can be used either in conjunction or separately to test IO hardware capacity, validate target IOPS, and ensure acceptable disk response times are sustained. Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis. The suggested method is by running the System Performance tool that comes bundled within IRIS. Please note that this is an update to a previous release, which can be found here.

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The capacity of taking numerous records every second while also facilitating real-time queries simultaneously in real time is called Hybrid Transactional Analytical Processing (HTAP). It is also called Transactional analytics or Transanalytics or Translytics and is a very useful element in scenarios where there is constant flow of real time data coming from IIOT sensors or data on fluctuations in stock market, and supporting the need for querying these data sets in real-time or near real-time.

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I just wrote up a quick sample to help a colleague load data into IRIS from R using RJDBC, and figured it's worth sharing here for future reference.

Ultimately it was pretty simple, aside from IRIS not liking "." in column names; the workaround is to just rename the columns. Someone better at R than me could probably provide some generic approach. smiley

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Question
Ahmad Bukhtiar · Oct 6
MDX Syntax Help

we have this container code where we want to create more CalcMember properties

<sharedCalcMember FullName="HSAAPATIENT||DEMOGRAPHICS||CITIZENSHIP.NATIONAL.sharedCalcMember" Dimension="Demographics" Name="Citizenship.National" Expression="[Demographics].[H10].[Citizenship].&amp;[USA]" SolveOrder="0" CubeName="HSAAPATIENT" UpperCaseDimension="DEMOGRAPHICS" UpperCaseName="CITIZENSHIP.NATIONAL"></sharedCalcMember>

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When we are at the starting stage of BI project development, we must remember that it is crucial to select the right tool for its implementation. Today we want to show you how one of the principal functionality of dashboards is implemented in different BI systems. Let's talk about drill down from both points of view: the dashboard development, and the convenience and clarity for the end user. We will touch on the applications of this technology in IRIS BI, Power BI and Tableau.

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InterSystems Developer Community analytics. Project made with InterSystems IRIS BI (DeepSee), Power BI and Logi Report Designer to visualize and analyze members, articles, questions, answers, views and other pieces of content and activity on InterSystems Developer Community.

You can see your own activity, articles and questions. Track how your contribution changes developer community.

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One of the most important tasks of dashboards is, on the one hand, to help you perceive data in an aggregated form, and, on the other hand, not to lose the depth of immersion in the data if you need this. One of the tools that help us achieve this result is drill down. It enables us to display several hierarchical levels of data, from aggregated to detailed.

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In this article you will have access to the curated base of articles from the InterSystems Developer Community of the most relevant topics to learning InterSystems IRIS. Find top published articles ranked by Machine Learning, Embedded Python, JSON, API and REST Applications, Manage and Configure InterSystems Environments, Docker and Cloud, VSCode, SQL, Analytics/BI, Globals, Security, DevOps, Interoperability, Native API. Learn and Enjoy!

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When we collect temporary data (the number of purchases in the store, the number of comments on the post), it may happen that there is no data for a certain period of time. In this case, this time period (hour, day, month) is not represented in the database, that is, there is not a single row for this period. In other words, there are no rows in the database for this period.

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Hi guys,

Does rebuilding of Data Quality Manager cubes affect patient index linkage definition data?

What I want to understand is, does DQM have any negative impact on the data each time you rebuild the cubes.

Additionally, if I make changes to the cube and rebuild it..will this have any impact on the original data?

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Hi,

I have 3 simple tables: Encounter, Patient and Immunizations. Encounter makes a reference to Patient, and Patient contains a list of Immunization objects.

I've tried using PowerBI to access IRIS (using ODBC connector, not InterSystems BI connector), PowerBI reports the error:

Expression.Error: The column 'Patient' of the table wasn't found.
Details:
    Patient

it does this for two of the three tables I need only (Patient and Encounter), but not for Immunization IRIS table..

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I was using PowerBI to create regular display data obtained from one popular web sourse with hundreds of thousands of visitors per month and a big number of users.

At the beginning of that visualisation development, I was using direct connection from Power BI to Adaptive Analytics powered by AtScale. Adaptive Analytics is useful for cached data, aggregates and fast data sources switching between development and stage phases. The “AtScale cubes'' connection method was used:

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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.

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