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Search for elements in your TM1 model
If there is something you’d like to know about your TM1 application such as, how a cube is updated, where an attribute is used or where a specific string is referenced, just ask Pulse. You can access this search feature from the top bar:
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Trigger an action when a value is updated in a TM1 cube
TM1py v1.0 introduces a new exciting feature: Delta request for transaction log. It means that each time a value is updated in a TM1 cube, TM1py is able to trigger an action such as running a TM1 process or sending this new value to an other cube…
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Resolving Circular Reference Calculation
One of the main reasons why TM1/Planning Analytics has been so successful over the years is its calculation engine. TM1 can resolves very complex calculations over millions of cells in an instant. However, its only weakness is that it will need a little bit of help to resolve an equation with a circular reference. A circular…
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The TM1 REST API Collection for Postman
The TM1 REST API is a way of accessing data and almost everything else in TM1. With the TM1 REST API you do things that normal TM1 clients cannot do such as:
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Mastering the TM1 REST API with Postman
Do you want to do more with TM1? Since TM1 10.2, IBM introduced the TM1 REST API which enables you now to do pretty much anything you want with your IBM TM1/Planning Analytics application.
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Setting Up Windows (SSO) Authentication for Pulse
Starting now with Pulse v5.7.3, you can now use Windows (SSO) Authentication for Pulse. What that means is when you navigate to the Pulse website (or thick client) you can be automatically logged in with your Windows account. Windows Authentication provides two major benefits:
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Moving from TM1 to Planning Analytics is NOT complicated
First of all, Planning Analytics is just a new name for TM1. Over the last few months, a number of customers have started planning the upgrade to Planning Analytics Local. There seems to be the perception that this process is more complicated than any other upgrade done before with TM1. In this article, I try to…
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How Cubewise Code will shape the future of IBM TM1/Planning Analytics in 2018
A lot happened in the TM1/Planning Analytics world in 2017. Canvas has been endorsed by many customers as their new way to build modern web planning and reporting applications. TM1py brought together for the first time, the TM1 and Python communities in order to find new ways to integrate external systems with your TM1 application.
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How Cubewise CODE has revolutionised TM1 Planning Analytics in 2017
A lot happened in 2017 in the IBM Planning Analytics (TM1) world. Here is a quick recap from Cubewise CODE.
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How to find over feeding in your TM1 model
Feeders are a crucial part of IBM TM1/Planning Analytics, giving us ad-hoc rule calculations without loss of performance or requiring pre-calculations of results. However, getting feeders right takes a good understanding of the model and how values influence a calculation.