#Analytics

Does InterSystems IRIS has a MEDIAN (or percentile) calculation in SQL?

Hi Community,
In this article, I will introduce my application iris-DataViz
iris-DataViz is an Exploratory Data Analysis and Visualization Streamlit Application that leverages the functionality of IRIS embedded python and SQLAlchemy to interact with IRIS, as well as the PyGWalker python library for data analysis and data Visualization. PyGWalker (Python Graphic Walker) is an interactive data visualization library built for Python, aiming to bring the ease and functionality of Tableau-style drag-and-drop visualization into Python environments.

Application Features 

I am excited to share that the Learning Services team has recently added new content to our InterSystems Reports Learning Path. These latest videos, created by our partner, insightsoftware, provide instruction for developing reports with InterSystems Report Designer.

In these three short videos, you’ll learn how to:

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. InterSystems IRIS Data Platform answers that with and add-on of Adaptive Analytics that can deliver this unified semantic layer. There are a lot of articles in DevCommunity about using it via BI tools. This article will cover the part of how to consume it with AI and also how to put some insights

The invention and popularization of Large Language Models (such as OpenAI's GPT-4) has launched a wave of innovative solutions that can leverage large volumes of unstructured data that was impractical or even impossible to process manually until recently. Such applications may include data retrieval (see Don Woodlock's ML301 course for a great intro to Retrieval Augmented Generation), sentiment analysis, and even fully-autonomous AI agents, just to name a few!

My team and I noticed that the %ZEN class documentation labeled all properties and methods as deprecated.

Example: %ZEN.Auxiliary.altJSONProvider - InterSystems IRIS Data Platform 2024.1 - including private class members

In this regard, the big question is: what will be used to replace these methods, in particular %ZEN.Auxiliary.altJSONProvider?

It is used as the basis for the MDX2JSON package, from which DeepSeeWeb gets data to build Analytical Dashboards.

Is a replacement proposed for deprecated methods of %ZEN class?

And when is this functionality scheduled to be permanently disabled?

TL;DR: My comment to Microsoft when I voted:Our team has implemented most of what we need for source management of Power BI Report files in Perforce. The missing piece? Automated creation of ".pbix" files from ".pbit" template files that can deployed to the Power BI Report Server. Let's get the manual “Power BI Desktop->File->Save As” step out of the process to make report deployment totally automated.

Hi Everyone,

We are using SQL based KPI's to display reports in IRIS dashboards. We have applied the filter functionality in these SQL based KPI reports.

I need your help for below scenario.

Below is my full report. Filter is applied on Name and Subject Name in this report.

Now I have used filter on Name and selected values 'Virat' and 'Big Show'

2 entries were displayed from 5 records.

Now when I look in Subject Name Filter, it still display all the distinct values of Subject Name.

I want this to display only Chemistry and Social (as Name filter got applied).

Hello everyone,

I am working with InterSystems IRIS and seeking guidance on how to perform specific tasks related to the FHIR SQL Builder using commands or code, rather than the graphical user interface (GUI). The specific tasks I am trying to accomplish are:

Hi Community,

Dive into the new video on InterSystems Developers YouTube:

⏯ Near Real-Time Analytics with InterSystems IRIS & Debezium Change Data Capture @ Global Summit 2023

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ InterSystems IRIS Business Intelligence - Tips & Tricks @ Global Summit 2023

A few months ago, I faced a significant challenge: streamlining the handling of business logic in our application. My goal was to extract the business logic from the code and hand it over to analysts. Dealing with a multitude of rules could easily result in a code littered with countless "if" statements, especially if the coder lacked an understanding of cyclomatic complexity. Such code becomes a source of pain for those working with it—difficult to write, test, and develop.

Hi Community,

I hope this message finds you well. I am reaching out because I have encountered an issue with a new dimension I created, named "Region," and I could use your assistance in resolving it.

The problem is that when I open the cube analyzer, the "Region" dimension does not populate data as expected. Instead, it merely displays the text "sourceRegion," which I specified as an expression in the architect. 

Hi Developers,

Watch this video to learn about some recent machine learning engagements InterSystems is driving, including TrakCare predictive analytics and examples from our Developer Community and partners:

⏯ Artificial Intelligence Healthcare Solutions - Time to Take Action @ Global Summit 2023

Hey Community,

Click play and immerse yourself in our fresh video on InterSystems Developers YouTube:

⏯ Adaptive Analytics in Action - Two Customer Use Cases @ Global Summit 2023

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.

Creating information dashboards, pivot tables, and widgets is an important step in analysis that provides valuable sources of information for informed decision-making. The IRIS BI platform offers many opportunities to create and customize these elements. In this article, we will take a closer look at the basic techniques for developing them and the importance of using them.

1. Dashboards:

Dashboards are visual tools that combine different data in one interface for more effective monitoring and analysis. Creating a dashboard on the IRIS BI platform involves several key steps:

Hi Community,

We're excited to share with you the recording of the next webinar in the series of InterSystems UKI Tech Talk:

👉 Analytics Capabilities using InterSystems IRIS 👈

Hello community, I need to solve a complex but trivial issue.

Given:

Two tables "Comment" and "Post". Each one contains an "Author" field, which is essentially a user ID. In these tables, each user ID represents an author. The goal is to count all participants together and then group them by month, language, and other metrics.

The question is how to do this within the IRIS ecosystem. Is it even possible to take two tables, get distinct data from them and then combine into one cube?

When analyzing data, there is often a need to look at specific indicators more thoroughly and to highlight sections of information of particular interest to a user.

 For instance, examining the data dynamics for specific regions or dates can help us uncover some hidden trends and patterns that will allow us to make an informed decision about our project in the future.

Hello Community,

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.

Thanking you in advance.

Hi developers,

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.

How to include IRIS Data into your Google Big Query Data Warehouse and in your Data Studio data explorations.  In this article we will be using Google Cloud Dataflow to connect to our InterSystems Cloud SQL Service  and build a job to persist the results of an IRIS query in Big Query on an interval.  If you were lucky enough to get access to Cloud SQL at Global Summit 2022 as mentioned in "InterSystems IRIS: What's New, What's Next", it makes the example a snap, but you can pull this off with any publicly or vpc accessible listener you have provisioned instead.

Prerequisites

As said in the previous article about the iris-fhir-generative-ai experiment, the project logs all events for analysis. Here we are going to discuss two types of analysis covered by analytics embedded in the project:

• Users prompts
• Execution errors

In order to extract useful data to apply analytics, we used the iknowpy library - an opensource library for Natural Language Processing based in the iKnow for IRIS Data Platform. It makes possible identifies entities (phrases) and their semantic context in natural language text in several languages.

A simple data analysis example created in IntegratedML and Dashboard

Based on InterSystems' Integrated ML technology and Dashboard, automatically generate relevant predictions and BI pages based on uploaded CSV files. The front and back ends are completed in Vue and Iris, allowing users to generate their desired data prediction and analysis pages with simple operations and make decisions based on them.

# ZPM installation

zpm:USER>install IntegratedMLandDashboardSample

# Process Deployment 

Use or create a new namespace

Import code into the corresponding namespace

Execute in Terminal:

Hi Community,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ HealthShare Analytics Solution: So Many Tools, So Much Power @ Global Summit 2022

Technology Strategy

When I started this project I had set myself limits:
Though there is a wide range of almost ready-to-use modules in various languages
and though IRIS has excellent facilities and interfaces to make use of them
I decided to solve the challenge "totally internal" just with embedded Python, SQL, ObjectScript
Neither Java, nor Nodes, nor Angular, PEX, ... you name it.
The combination of embedded Python and SQL is preferred. ObjectScript is just my last chance.

Apache Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

And now it is possible to use with InterSystems IRIS as well.

An online demo is available and it uses IRIS Cloud SQL as a data source.

Our team has had success creating and publishing Power BI reports using an ODBC connection to an IRIS database, but there have been concerns about the responsiveness of these reports.

As an attempt to improve responsiveness, I'm trying out the "DirectQuery" connection using the InterSystems IRIS connector available in our version of Power BI Desktop (September 2021). 

The version of IRIS I'm connecting with is "IRIS for Windows (x86-64) 2022.2"

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. Pay attention to the child's developmental state through scientific prediction and comparison.