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#Analytics

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This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.

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.

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Dear Folks,

I have recently studied deepsee and developed few dashboards needed for our web app users. I am trying to embed them in our existing web app which uses angular with delegated user access. I need to embed the native IRIS dashboard into it. ( I can't use Highcharts or any other js tools).

How do I setup the dashboards to work with delegated authentication (Without providing access to management portal or other parts) ? Also should I use the default csp/{Namespace}/_DeepSee.UserPortal.DashboardViewer.zen? or any other web application URL ?

Thanks

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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?

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Hello all,

I'm trying to build a cube based on a linked table but seems that IRIS is not able to do it :O

Long story short, I have a linked table in IRIS that sources a Microsoft SQL table (using standard linked feature from the portal). It works fine, I can access it using SQL as many other times. On top of that, I've created in DeepSee (ok, Analytics) a cube that uses this class as source. It compiles correctly, no errors given. When I build it with 100 records, all goes well and using Analyzer I can see results.

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