Category: Blog
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Mastering conditional feeders in TM1
This article gathers everything you should know about conditional feeders in IBM Planning Analytics powered by TM1.
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Arc v2.2 is now available
The Arc cube viewer has been enhanced with two new features:
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Making TM1 applications faster and lighter
There are three key principles that a IBM Planning Analytics powered by TM1 (TM1) developer needs to keep in mind when building TM1 applications:
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Finding ideal dimensions order with OptimusPy
This article explains how to leverage OptimusPy to optimize your cubes for performance and memory.
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TM1 hidden features
IBM Planning Analytics powered by TM1 (TM1) is full of features, over the years the IBM server team continues improving it to meet various customer requirements. This article digs into some of its hidden features. All features described below are currently undocumented, use them with care!
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RushTI optimized mode
RushTI now has an alternative execution mode: OPTIt allows for an optimized execution schedule.
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Loading data into a TM1 cube with TM1py
This article explains three methods of loading data into a TM1 cube with TM1py.
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Updating dimensions with TM1py
This article explains two different ways to update dimensions with TM1py.
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Arc v2.1 is now available
Thanks to the feedback from TM1 developers from all around the world, Arc is becoming more and more robust (900+ tickets closed). This new release includes 63 enhancements and fixes, here some highlights…
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Connecting Power BI to TM1 for FREE with TM1py
It is easy to connect your data together. Power BI (PBI) includes 45+ certified connectors for Files (Excel, CSV…), Databases (SQL Server, Oracle, IBM DB2…), Power Platforms (Power BI datasets), Azure (Azure SQL databse, Azure Databricks…), Online Services (Sharepoint, Salesforce…) and Other (Web, Active Directory…).