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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.

Article
· May 25, 2017 2m read
The Interns are Coming!

The Data Platforms department here at InterSystems is gearing up for this year's crop of interns, and I for one am very excited to meet them all next week!

We've got folks from top technical colleges with diverse specialties from hard core engineers to pure computer scientists to mathematicians to business professionals. They come from countries around the world like Vietnam, China, and Finland and they all come with impressive backgrounds. We're sure they will do very well this summer.

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Question
· Apr 12, 2017
Message Profiling

Hi all,

I was wondering if InterSystems offers any message profiling capabilities. What I mean by "message profiling" is essentially stats or metrics gathered from a collection of data submissions of a particular type. For instance, average number of segments <XYZ> in a specific HL7 V2 message type. Or the number of sections found in a HL7 V3 CDA documents.

Curious if there is anything like this provided "out-of-box".

Thanks!

James

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Announcement
· Mar 16, 2017
Articles' Views Analytics

Hi, Community!

I hope you know the option to use DeepSee analytics portal for Developer Community stats. You can find it in Community-Analytics menu.

Let me introduce the beta of new analytical dashboard 'Articles' Views', which is available in Authors folder.

It consists of two dashboards, first shows the running total of the views for the articles (to see the impressive growing curve).

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Back in my COBOL days, there was a utility that would analyze running COBOL code and expose bottle necks and those modules that were inefficient or were executed multiple times. This was to help the programmer know where to concentrate streamlining efforts.

Is there any such utility for Caché Routines?

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How are we doing THIS year versus the same period LAST year?
This is a common need in Business Intelligence. In fact, many design specifications for reports make use of a comparison between a selected period (year, quarter, etc) up to a certain date (for example November 15th, 2016) and a summary of the same information for the previous year (i.e. up to November 15th, 2015).
This post shows how to implement this in DeepSee.

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Hello!

My group and I are currently doing a research project on natural language processing and iKnow plays a big role in this project. I am aware that the algorithms iKnow use aren't public, and I respect that.

My question is, are there any public documents/research that explains, at least part of, the algorthims iKnow uses and the motivations for using them?

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I am trying to create a query that returns the best and worst performing products for a given customer, based on this year's net sales versus last year's net sales, weighted by the total net sales for all of the products sold to this customer in the last two years.

I have created Last Year Net Sales (up to the last month end): AGGREGATE(PERIODSTODATE([Invoice Date].[H1].[YEAR],[Invoice Date].[H1].[Month].[NOW-13]),measures.[Net Sales])

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Whether you are accessing DeepSee for the first time ever or you are configuring DeepSee on a new instance, there are two common issues that are encountered after clicking on the “DeepSee” option in the System Management Portal.

Issue #1: Architect/Analyzer is grayed out!

Issue #2: DeepSee must be enabled before use.

Issue #1: Architect/Analyzer is grayed out!

There are two common causes for this problem.

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I've asked a lot of questions leading up to this, so I wanted to share some of my progress.

The blue line represents the number of messages processed. The background color represents the average response time. You can see ticks for each hour (and bigger ticks for each day). Hovering over any point in the graph will show you the numbers for that period in time.

This is super useful for "at a glance" performance monitoring as well as establishing patterns in our utilization.

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This article contains the tutorial document for a Global Summit academy session on Text Categorization and provides a helpful starting point to learn about Text Categorization and how iKnow can help you to implement Text Categorization models. This document was originally prepared by Kerry Kirkham and Max Vershinin and should work based on the sample data provided in the SAMPLES namespace.

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Hello!

I'm trying to make a simple hello world program for iKnow but the documentation only shows examples using the scripting language or XML XData.

The domain is already created and configured, what I hope for is to be able to work with the data in some high-level language.

Is it possible to do something like this:


int domainId = 1;
IKnow iknow = new IKnow( domainId );
List concepts = iknow.getTopConcepts();

Any feedback will be greatly appreciated!

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