#Adaptive Analytics

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InterSystems IRIS Adaptive Analytics is an optional extension that provides a business-oriented, virtual data model layer between InterSystems IRIS and popular Business Intelligence (BI) and Artificial Intelligence (AI) client tools. It includes an intuitive user interface for developing a data model in the form of virtual cubes where data can be organized, calculated measures consistently defined, and data fields clearly named. By having a centralized common data model, enterprises solve the problem of differing definitions and calculations to provide their end-users with one consistent view of business metrics and data characterization.

Documentation.

Can someone give me an explanation of how Local.PD.Linkage.Definition.Individual works? This was setup by another company as part of our implementation.

Below is my configuration..

We are getting a lot of matches on Given Name, but then the Family Name does not match at all, so I am wondering if these need to be adjusted. I just don't understand if they need to be positive or negative.

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InterSystems IRIS Adaptive Analytics version 2025.4.1 is now available from the InterSystems Software Distribution page. This release includes AtScale 2025.4.1 and is compatible with the existing Adaptive Analytics User-Defined Aggregate Function (UDAF) file - 2024.1. New features included in AtSCale's 2025 releases include:

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Hi Everyone, I'm Prakash Hinduja, a financial advisor and consultant. My roots in India now living in Geneva, Switzerland (Swiss). I'm looking for some suggestions on how to get the best performance from Adaptive Analytics 2023.2. I know it uses Adaptive Parallel Execution and automatic aggregates, but I'm curious if you've found any other tips or tricks. For example, are there any specific data modeling choices or system configurations that have worked well for you? I'm trying to make our cubes as responsive as possible. Thanks in advance for any insights!

Regards

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Hi, Community!

Want to use your data to make better business decisions? Creating virtual models can help! See how:

Creating Virtual Models with InterSystems IRIS® Adaptive Analytics

https://www.youtube.com/embed/0V-nLans5J8?utm_source=youtube&utm_medium=social&utm_campaign=0V-nLans5J8
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In today's data landscape, businesses encounter a number of different challenges. One of them is to do analytics on top of unified and harmonized data layer available to all the consumers. A layer that can deliver the same answers to the same questions irrelative to the dialect or tool being used.

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InterSystems IRIS Adaptive Analytics version 2024.1.3 is now available from the InterSystems Software Distribution page. This release includes AtScale 2024.1.3, and an updated User Defined Aggregate Function (UDAF) file. This release includes and the following new modeling and BI capabilities:

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In this article, we will explore the use of parameters, formulas and labels in Logi Report Designer (formerly Logi JReport Designer). What are they for and how to create them?

Using the basic functionality of InterSystems Reports Designer, parameters, formulas and labels, you can significantly improve the detail and information content of the generated report. In addition, these tools allow you to automate some of the processes, which greatly speeds up and facilitates the creation of reports.

Let's analyze each tool separately now.

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In our latest episode of Data Points, I had a conversation with @Thomas Dyar about AI Link, which helps bridge the gap between data scientists and business analysts. Our conversation talks about how AI Link fits with IntegratedML and Adaptive Analytics, as well, as what new features are on the horizon for IntegratedML. Take a listen!

https://5e18edf067eb59-03854285.castos.com/player/1346398
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Article
· Nov 15, 2022 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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Developers, we have prepared a tutorial to get you started with InterSystems Adaptive Analytics powered by AtScale. In it, in addition to setting up AtScale and working with data cubes, we will also touch on methods of working with InterSystems Reports and other analytical systems.

Now the course is ready and we want to conduct a pilot training course on a small group of volunteers (3-5 people).

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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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In our latest episode of Data Points, I had a conversation with Carmen Logue and Mary Ann Fusi about Adaptive Analytics and Smart Data Fabrics. A lot has changed and improved since the last time we discussed this product on the podcast, so take a listen!

https://5e18edf067eb59-03854285.castos.com/player/1308755
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When we work with IRIS, we usually have the ability to quickly deploy a ready-to-use infrastructure for BI (data, analytical cubes, and IRIS BI dashboards) using modules. When we start using Adaptive Analytics, we typically want to have the same functionality. Adaptive Analytics has all the tools that we need. The documentation contains a description of how to work with an open web API. All interactions between the user interface and the engine also occur via the internal web API and can be emitted.

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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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Article
· Sep 9, 2022 1m read
DC Analytics Open Application

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.

Open Exchange app
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Power BI dashboards provide us with a good way to analyze aggregated information. We can even choose time periods for aggregation (you can find more details regarding it in our article about drill down). However, we might still be interested in a detailed look at specific data points. With the right data filling, we can display detailed data for any column of the chart with all filters applied to that chart.

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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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Article
· Jul 19, 2022 7m read
Showing dates in missing periods

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 All! We have recently updated the Exploring Healthcare Analytics with InterSystems exercise to a new version. Originally from a 2021 Virtual Summit experience lab, this exercise now focuses more specifically on using InterSystems IRIS Adaptive Analytics with InterSystems IRIS for Health. It features a new and improved data model and exercise to explore. Feel free to give it a try!

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Hi Developers,

New video is already on InterSystems Developers YouTube:

⏯ Adaptive Analytics in Action: Financial Services Use Case

https://www.youtube.com/embed/pqgHHigIW5g
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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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Hey Community,

Enjoy watching the new video on InterSystems Developers YouTube channel:

⏯ Creating Virtual Models with InterSystems IRIS Adaptive Analytics

https://www.youtube.com/embed/E9jBHljk9To
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Hey Community,

See how cubes are constructed for use in business intelligence, and learn about SQL and MDX query languages. Physical and virtual cubes are used in InterSystems IRIS® Business Intelligence and Adaptive Analytics:

⏯ Introduction to Cubes in Business Intelligence

https://www.youtube.com/embed/l6XFj1JQ5Fw
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