There’s a fair amount of TM1 knowledge on the web.

The best TM1 knowledge on the web is here at Cubewise’s Tech blog.

List and Wildcard Functionality in bedrock

The latest version of the bedrock library consistently includes support for lists and wildcard string matches whenever defining objects or elements. This article explains step-by-step how lists and wildcards work and how to put them to use.

Changes in functions of rules and TIs from TM1 10.2 to PA  

IBM support on TM1 version 10.2.2 will be discontinued from 30th September 2019. Awareness around the decisions for the interface, additional available functionality and what to consider for the installation and configuration have already been covered. The decisions can be found in the decision tree in the blog post Upgrade TM1 to Planning Analytics.  

With the move from TM1 10.2.2 to PA 2.0.6 (TM1 Server 11.4) there are a few functions used in rules that will not be available in the upgraded software.

A Detailed Look at Planning Analytics Workspace

IBM Planning Analytics Workspace (PAW) is a web-based interface for IBM Cognos TM1. It brings new exciting possibilities in terms of visualization of your TM1 data. IBM succeeded in expanding the TM1 interface options with a user-friendly and attractive experience aimed at a wide user community.

Cubewise February 2019 Update

Given that the month only had 28 days, the Cubewise team still pushed out a lot of content and updates.

Need to know essentials for Planning Analytics

Our colleagues from Cubewise CODE have done some great work producing not just 1 but 3, "cheat sheets". There's a separate sheet for End Users, Developers and Administrators respectively. The sheets are densely packed with information and hyperlinks to more detail when it can't possibly all fit on one page. Everything you need all on one super neat package!

Enabling hierarchies, how does it affect your current model?

Welcome to this installment of our series on upgrading to Planning Analytics. If you’re here then you probably know about the new features that PA brings such as Workspace, hierarchies and multi-threaded feeders, but you’re hesitant about whether to implement the new features due to concerns about the impact on your current mature implementation. If this describes your situation then you are at the right place!

Cubewise January 2019 Update

Yes, the first month of 2019 is already over and as things happened so fast, here is the summary of the Cubewise highlights in January.

How to reference intersections of hierarchies in rules

This is a follow on from the previous article on working with hierarchies in rules. It will deal with how to address the intersection of two (or more) hierarchies in the right hand side of a rule statement and the left hand side of a feeder statement.

What exactly is cube optimization?

There are already many good resources on the internet explaining how to re-order dimensions, or in other words, how to "optimize" a cube. However, nowhere is it explained just exactly what is being optimized and why. This article addresses this gap and explains that there are multiple possible axis which can potentially be optimized and by extension that there is no "one best dimension order" as the optimal order is situational and depends on whether we should optimize for memory consumption or performance. As 64-bit computing has evolved memory has become cheaper, to the point of being a commodity. So is optimizing for memory consumption still relevant, or should we focus on performance? And if performance then is query performance or write-back performance more important?