Performance Optimization

Admin Best Practices, Health, TM1 Management, TM1 Performance

TM1 Health: How to Maintain Your TM1 Server

Regular maintenance of your TM1 server will help keep it healthy. Here is our guide for what you need to do systematically to maintain great TM1 server health.

Rule Case Studies

How to Limit TM1 Rule Scope (and speed up your model!)

Simple method for cutting down the calculation overhead of TM1 rules for a multi year forecasting model by limiting rule scope.

Rule Case Studies

Enabling TM1 Rules via a Control Cube

A simple solution to enabling and disabling rules for different versions (or scenarios) using either an attribute on the Version dimension or a simple cube, intersecting the }Cube and Version dimensions.

Cognos Analytics, Dimension Best Practices, TM1 Performance

Setting Dimension Order for a TM1 Cube

Dimension order within cubes in TM1 is important not only for performance, but also for usability. When should you set the order for usability and when for performance? And how do you optimise the dimension order for performance? All these questions and more are addressed in this post from ExploringTM1.

Administration, Cognos Analytics, Integration, TM1 Management

Setting the Java Virtual Machine (JVM) in Cognos

There are a few settings in Cognos BI that can dramatically improve performance in Cognos BI when using…

Administration, Cognos Analytics, Integration, TM1 Management

Tuning Cognos BI and TM1 for Maximum Performance

Cognos Business Intelligence and TM1 now work well together, however performance can be dramatically improved by changing the…

Administration, Cognos Analytics, Integration, TM1 Management

Forcing Cognos BI to Use Native TM1 Engine

There are a few settings in Cognos BI that can dramatically improve performance in Cognos BI when using…

Installation/Configuration, TM1 Performance

Multi Threaded Queries (MTQ)

Multi-threaded queries allow TM1 to automatically load balance the application of cores by executing each query on a separate core. This multiple processing can improve efficiency and processing time for large queries and rules.

Uncategorized

Guest Post: Solving a TM1 Performance Problem – Wim Gielis

One of our major customers was facing severe performance problems. The problems related to 2 cubes, in which…

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