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.

Marius did some major development around TM1Py and released a new version early December. After some internal testing, it is now ready for the public. This new version brings a range of new features and closes a few known issues.

RushTI is a great example of how to use TM1Py. The latest version of RushTI implements the wait command. This gives the ability to split chunks of processes into dedicated blocks and build dependencies.

Guido and Luis from our US office hosted a number of webinars around Planning Analytics, Performance Improvement and the REST API. The whole series of videos is now available through its dedicated blog post.

The January episode of the Apliqo webinar series covered the topic of top-down and bottom-up planning. Given that planning very often is an iterative approach it is important to cater for the different planning scenarios. This webinar shows how to best solve this challenge in a fully integrated environment.

The core user interface of all Apliqo solutions is UX. However, this powerful and modern option can also be applied to any other TM1 or Planning Analytics model. A number of videos on our Apliqo YouTube channel show how to get Apliqo UX set up and then applied to any model.

Apliqo is not only a technical solution but also contributes finance best practices to the community. This German article picks up the key topics in an interview with Martin Winkler.

Scott and Ian published three new articles in January.

First, Scott goes into the technical details of cube and dimension optimization. Developers very often deal with this topic based on gut feeling or experience. With this post, Scott lays out the core concepts and explains why sometimes optimization for space can have unintended consequences for the user performance.

Next, Ian picked up the topic of hierarchies in Planning Analytics. This new feature requires a rethinking of known concepts. A prime example is the development of TM1 rules in a system with the new hierarchies.

Lastly, Scott covers some unintended benefits when adding hierarchies to a dimension. The Planning Analytics server applies defaults, which can, when understood, help to build good TM1 applications.

This series of interviews is getting a lot of positive feedback. With so much experience in the TM1 market, the stories of how people fell in love with this tool are very different.

Bryan Wan sat down this month with Scott Wiltshire to get his story dating back to an early version of TM1.

In another interview, Bryan talks with Dwight Smith. His path to TM1 was, as for many, not planned, but the flexibility of the tool enabled him to deliver successful solutions.

Cubewise has three YouTube Channels with content for different user groups!