This tag relates to the discussions on the development of analytics and business intelligence solutions, visualization, KPI and other business metrics management.
Thank you all for your continued feedback and support of our ad hoc reporting platform, VDM. There's been some questions around setting up a non-ODBC connection for InterSystems platforms. We published a new YouTube video showing the steps necessary to connect to InterSystems Caché and InterSystems IRIS with BridgeWorks VDM.
Hi there, We need your help, in the build pivot with DMX, we don't can run the pivot. The MDX use is:
WITH MEMBER [Measures].[CondicionesContCompleta] AS ( IIf([Measures].[CondicionesContCompleta] = Null, 0,[Measures].[CondicionesContCompleta] ) ) SELECT NON EMPTY ( [Gerencia].Gerencia].[Gerencia] ) ON ROWS, NON EMPTY ( [Measures].[CondicionesContCompleta] ) ON COLUMNS FROM [Condiciones]
and when we executed the pivot display the next dialog.
Error#5001: Expected operator within tuple: ('SELECT' @pos 156)(2)
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.
When using Related Cubes in InterSystems IRIS BI, cubes must be built in the proper order. The One side must be built before the Many side. This is because during build time for the Many side, it looks up the record on the One side and creates a link. If the referenced record is not found on the One side, a Missing Relationship build error is generated. The One side is going to be the independent side of the relationship, AKA the side of the relationship that is referenced by the Many side or the Dependent cube. For example: Patients contain a reference to their Doctor.
%SQLRESTRICT is a special %FILTER clause for use in MDX queries in InterSystems IRIS Business Intelligence. Since this function begins with %, it means this is a special MDX extension created by InterSystems. It allows users to insert an SQL statement that will be used to restrict the returned records in the MDX Result Set. This SQL statement must return a set of Source Record IDs to limit the results by. Please see the documentation for more information.
Why is this useful?
This is useful because there are often times users want to restrict the results in their MDX Result Set based on information that is not in their cubes. It may be the case that this information may not make sense to be in the cube. Other times this can be useful when there is a large set of values you want to restrict. As mentioned before, this is not a standard MDX function, it was created by InterSystems to handle cases were queries were not performing well or cases that were not easily solved by existing functions.
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.
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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.
As we announced at our Global Summit in October, we are developing dedicated connectors for a number of third-party data visualization tools for InterSystems IRIS. With these connectors, we want to combine an excellent user experience with optimal performance when using those tools to visualize data managed on InterSystems IRIS Data Platform.
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The simple answer is: a custom widget. A portlet can exist by itself on a DeepSee dashboard, it can be used along side standard DeepSee widgets, or along side other portlets. The rendering of the custom widget is completely user defined. This means you can embed a web page, create a form to perform any sort of action needed based on the data on your dashboard, use third party charting libraries, or simply display data from outside of a DeepSee cube.
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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.
Easily transform a CSV file into a personalized preview of DeepSee - InterSystems BI
AnalyzeThis can be found on InterSystems Open Exchange. Use the Download link to navigate to GitHub and begin installing the project. Follow the “Installation” section of the GitHub README.
Why log in to view pivot tables when you can have them delivered directly to your inbox? Are you in need of automated reporting for InterSystems IRIS Business Intelligence? Pivot Subscriptions is your solution: a tool for subscribing to scheduled email reports of pivot tables inside InterSystems IRIS Business Intelligence (previously known as DeepSee).
Fast transfer. Pass globals, classes and tables from InterSystems IRIS to Python with ease and speed (10x faster than old QueryExecute). Documentation.
I recently discovered the Monitoring Activity Volume feature in IRIS and I was amazed by it. So, I put it to work in one of our productions. It is nice how easy it is to set up and all the possibilites that came with it.
But there's something weird: the numbers. Actually, one of the BP is stating a time of more than 6 seconds to process:
I'm sure I'm not the only one who's already assembling matching pairs of socks for this year's Global Summit in Boston later this month . In case you haven't registered yet or are still looking for the right justification to get the eventual approval to attend, here's a quick overview of all the sessions around Data Management and Analytics:
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We have created a custom SDA container to store a certain kind of new, customized patient data.
We are observing a behavior in the correspoding analytics table for this custom SDA class where rows are added for a patient for which the MPI is null and the patient record does not exist.
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we are wondering if anybody has a reporting tool that is capable using IRIS Objects?
I know there are things like Crystal Reports and others out there who can read the SQL Data throug ODBC but we need the capability of using object methods while running the report.
Since now we where using a JAVA based report generator (ReportWeaver) but since the object binding for JAVA doesn't exist anymore in IRIS data platform, did any of you have an alternative report generator?
By update
Open Exchange app
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. In case you haven't registered yet or are still looking for the right justification to get the eventual approval to attend, here's a quick overview of all the sessions around Data Management and Analytics: