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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The DeepSee Shell best Practices Series - Execute an MDX query in the DeepSee Shell with/without results cache

This cache is different from cache reset. Cache reset clears everything in the namespace but “cache off” only clears the cache in ^DeepSee.Cache.Results and ^DeepSee.Cache.Axis global node for the corresponding cube. The difference is quite smaller in the case as below, but in some cases it can be a big difference.

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In the previous part of this series, we saw how to include data in a portlet from within DeepSee. This used the built in data controller. In this part, we are going to be pulling in data from outside of DeepSee. This will include both information from within InterSystems IRIS and from the OS.

Why use this?

This is useful if you would like to create a dashboard that only contains information about your system. It is also useful if you want to display data about your system along side data that you have stored in DeepSee.

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Hi, Community!

If you do not know much about DeepSee technology, this video on is exactly for you:

DeepSee Webinar

https://www.youtube.com/embed/4P45m6LjhPE
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Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

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The DeepSee Shell Best Practices Series - Example of using the MDX subquery flag in the DeepSee Shell

We have different flags for DeepSee advisors to look into the execution details and the methods DeepSee is using to do calculations.

flag [flagname] [on|off] – Turn a diagnostic on or off.

flag cmbr on|off – Show current member processing.

flag compound on|off – Show rewrite of compound queries.

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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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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:

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Today my customer ask me a question about how to write the MDX with a summary row however this row with different aggregate functions for each column.

We know in DeepSee analyzer has pivot table option "Summary", user can select sum, avg ... aggregate functions to get the summary row/column. However we can not specify different aggregate function for each measure column.

Here show the example to use All level and IIF function achieve that. see the example (Holefood cube in Sample namespace) below

WITH MEMBER measures.[with avg summary info] AS

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Hello InterSystems Community,

We're excited to announce that we've completed our first Open Exchange submission for InterSystems platforms.

BridgeWorks VDM is an ad hoc reporting and graphical SQL query builder application that was designed for any user who needs access to their SQL projections in InterSystems Caché, InterSystems IRIS, InterSystems IRIS for Health databases as well as access to InterSystems DeepSee and InterSystems IRIS BI Cubes with minimal SQL scripting experience.

VDM features:

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Hi, Community!

You know, that when we build hierarchies in DeepSee dimension all the members of lower level should be the part of one member of the higher level.

If not you'll get some empty results in MDX queries with this hierarchy.

With Time dimensions the obvious valid hierarchy is Year->Month->Day, cause every Month consists of one Year and every day consists of one month.

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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.

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The DeepSee TroubleShooting Guide helps you track down and fix problems occurring in your DeepSee project. A common problem is finding less records than expected in a DeepSee Cube or a related Subject Area. The DeepSee TroubleShooting Guide suggests starting your investigation by checking the following:

Check cube for build restrictions

Check if maxFacts is used

Check if Build Errors are occurring

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Preview Mode was added to InterSystems IRIS Business Intelligence to give designers a quick view of what their resulting Pivot Table will look like without needing to wait for the results to fully execute. This can be beneficial when designing pivot tables because if you are dragging and dropping elements to see how they look/work in your pivot table and seeing if they have the desired data. Since you are exploring and designing, you don't necessarily care about the results at the moment, but you would still like to see how your table looks with the changes you have made.

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The following post outlines a more flexible architectural design for DeepSee. As in the previous example, this implementation includes separate databases for storing the DeepSee cache, DeepSee implementation and settings, and synchronization globals. This example introduces one new databases to store the DeepSee indices. We will redefine the global mappings so that the DeepSee indices are not mapped together with the fact and dimension tables.

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Those of you, who work with DeepSee, might have spotted, that when working with a date hierarchy, there are several functions, allowing you to select a time function for a given level. E.g. for extracting a year from a date/time property when building date hierarchy, you simply use Year function. similarly for month number, quarter and so on. Sometimes, you may wish to see the time - namely hour numbers. For this there is a HourNumber function available with DeepSee. Unfortunately, this function converts time into 12 hours format suffixed with AM/PM to indicate day part.

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Hi, Community!

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.

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InterSystems IRIS Business Intelligence allows you to keep your cubes up to date in multiple ways. This article will cover building vs synchronizing. There are also ways to manually keep cubes up to date, but these are very special cases and almost always cubes are kept current by building or synchronizing.

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Hi, Community!

I’m sure you are using Developer Community analytics built with InterSystems Analytics technology DeepSee:

You can find DC analytics n InterSystems->Analytics menu.

DC Analytics shows interactive dashboards on key figures of DC entities: Posts, Comments, and Members.

Since the last week, this analytics project is available for everyone with source code and data on DC Github!

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I was approached recently by and end use who wanted to perform analysis of their databases and see how they could save some space by picking data good for deletion without harming the application. As part of investigation, they wanted to know sizes of globals within datasets. This can be achieved by various means but all of them provide data in text form only.

I thought I might be a good tool for database administrators in general - to see global sizes in a graphical way.

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In the previous part of this series, we saw how to define a basic portlet. Now we will look into making this portlet reference a web page that will enhance our dashboard experience.

In this example, we will be embedding a Developer Community article along side a couple of widgets displaying information related to the number of views on the Developer Community articles. This example is not hosted on the Community Analytics server, but if it was we could see the view counts going up as we interacted with the page.

Why use this?

In a real case, perhaps you have an embedded page from an external web site showing the current Emergency Room wait times for Hospitals in your area. This portlet can be used along side widgets from your Emergency Room showing how many people are waiting, how many doctors are active, and how many people are being treated. As other Emergency Room wait times grow, you can possibly expect your volume to increase as well. This can help you make decisions on how to allocate resources.

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Users of analytical applications often need to generate and send out PDF reports comprised of elements of the analytical panel. In the InterSystems stack, this task is solved using the DSW Reports project that is an extension of DeepSeeWeb. In this article, we will explain how to use DSW Reports for generating PDF reports and emailing them.

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Hi!

Sometimes I need to filter the widget on a dashboard from a different cube. And I face the following problem:

Widget A refers to a query from Cube A and I want to filter Widget B from Widget B.

Widget's B pivot refers to Cube B, and which has different dimensions for the same data.

E.g. cube A has the dimension Author and the Cube B has the dimension Member for the same data. So there is no way to filter such a widget B from the widget A.

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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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Hi Community,

Play the new video on InterSystems Developers YouTube:

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

https://www.youtube.com/embed/Ekjzny8zj98
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