#Analytics

Hi Developers!

We had a set of technology bonuses for the InterSystems IRIS Analytics contest.

And here is how projects collected it:

The OKR methodology (Objectives and Key Results or Objectives and Key Results) is used by the largest companies in the world (such as Google, Netflix, Spotify, BMW, Linkedin, etc.) for agile performance management. It was created in the 1970s by Andrew Grove, president of Intel, and introduced to the general public in his famous book “High Output Management”.

Around 1998 John Doerr, one of the world's top venture capitalists, after coming into contact with Intel's OKR, introduced the model to Larry Page and Sergey Brin, who started a small company called Google.

Hi developers!

How to build an analytics solution with InterSystems IRIS?

To begin with, let's agree on the points of what is the analytics solution - and this could be a very wide topic. Let's limit the set of solutions to those you can present in the Analytics contest.

There are three kinds of analytics solutions that we will review here: monitoring, interactive analytics, and reporting.

Monitoring

The typical monitoring solution consists of an online dashboard with KPIs that are being actively updated.

The key use case is of monitoring is to visually observe the KPI of fresh data every moment to react in case of an emergency.

Interactive Analytics

This solution supposes a set of interactive dashboards with filters and drill-downs.

The key use case is to explore the data with filters and drill-downs making business decisions upon graph and table data visualization.

Reporting

Reporting solution provides a set of static (usually) reports in a form of HTML or pdf documents that deliver the data in graph and text form in a predesigned form and could be sent via email.

The typical use case of a reporting system is to obtain reports on a given period that will illustrate the status of the product, process, service, sales, etc that is crucial for the business.

How InterSystems products could be used to build such solutions? Let's discuss this below!

Hi Community,

See a demonstration of InterSystems IRIS Adaptive Analytics and get a detailed description of this new offering for analytics end-users:

⏯ Demonstration: Adaptive Analytics in InterSystems IRIS

https://www.youtube.com/embed/mmT5g8G-8Bo
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Hey Developers,

Welcome to the next InterSystems online programming competition:

🏆 InterSystems IRIS Analytics Contest 🏆

Duration: August 23 - September 12, 2021

Total prize: $8,750

Landing page: https://contest.intersystems.com

Sometimes you when create a pivot in Analyzer and see the result that shouldn't exist - don't run to create a WRC ticket, try to call the IRIS BI reset function first:

d $System.DeepSee.Reset(1)

And in many cases this will solve the problem.

And if it doesn't help, create a WRC ticket )

Is there a way to add/substract from a pivot variable?

I have this MDX:

SELECT
  NON EMPTY [DateOfSale].[Actual].[YearSold].&[$variable.Year] ON 0,
  NON EMPTY [Product].[P1].[Product Name].Members ON 1
FROM [HOLEFOODS]

And with pivot variable Year equal to, say, 2016 it works:

Now I want to add previous year first with one pivot variable and one explicit reference. It also works:

In this article we are going to show the results of the comparision between IRIS and Postgress when handling Astronomy data.

Introduction

Since the earliest days of human civilization we have been fascinated by the sky at night. There are so many stars! Everybody has dreamed about them and fantasized about life in other planets.

Hi,

I am testing some BI tools like Tableau, Power BI and Qlik with Caché using ODBC driver

Is there another way to connect them with Caché?

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.

https://5e18edf067eb59-03854285.castos.com/player/408391
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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.

Hey Developers,

Enjoy watching this brief explanation of a new feature in IRIS RAD Studio – a new project by @José Pereira and @Henrique.GonçalvesDias:

⏯ Automated user management in IRIS RAD Studio

https://www.youtube.com/embed/-Y2kaKES8yg
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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?