InterSystems Business Intelligence enables you to embed business intelligence (BI) into your applications so that your users can ask and answer sophisticated questions of their data. Specifically, your application can include dashboards, which can include the following:
Interactive widgets that execute queries designed for specific user roles or for specific areas of your user interface.
Controls such as drop-down lists and data choosers that enable users to modify these queries.
Interactive drill options that enable users to view the displayed data in different ways.
Options to export, print, and send alerts to other users.
An option to launch the Mini Analyzer, which supports free-form analysis.
Execute custom actions that are provided as buttons or other controls.
In contrast to traditional BI systems that use static data warehouses, Business Intelligence is kept closely in synchronization with the live transactional data, as required for your business.
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.
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.
In the previous part of this series, we saw how to reference a web page that will enhance our dashboard experience. Now we will look into referencing data that is already in our cubes.
In this example, we will be referencing the controller object and we will be extracting data from it. This data will then be displayed as text in our Dashboard. In Part 5, we will show how to incorporate this data into other charting libraries.
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.
Suppose you have large set of cubes, pivots and dashboards in your DeepSee solution.
Then you change the level, measure or dimension in the cube and is there any way to test that your new input didn't break current pivots, dashboards, etc?
In part 1 we started working on a security model for DeepSee and create a user type having privileges typical of end users. In this part we are going to create a second user type with ability to edit and create DeepSee pivot tables and dashboards.
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.
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.
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.
https://www.youtube.com/embed/4P45m6LjhPE [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
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.
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:
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
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.
The DeepSee Shell Best Practices Series - Reset your DeepSee cache in the DeepSee Shell
This method is provided as a convenience for developers for use on development or test systems. You should not use this method on production systems as it will have immediate effect on the performance of end user operations.
Has anybody tried to extend the Menu on Management Portal? I like to add a new page or a dashboard that will be created soon to the Management Portal and allow others to use it also. I understand there are risks that I could lose things during an upgrade. I am okay with that. Does InterSystems support such an effort?
Hi everyone! I am hiring an InterSystems IRIS Engineer. If you or anyone you know has a qualifying skillset and is interested, please email me your resume and I will give you a call. Thanks!!
https://www.youtube.com/embed/Ekjzny8zj98 [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
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.
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.
By update
Open Exchange app
