You heard it right – Is your organisation still on TM1 10.2.X and haven’t upgraded to PA?
Thank you if you have come back for more! Hope our last blogs of this series Unravelling TM1 : Lesser Known Facets – Part A & Part B were meaningful. In this part we will unearth & explore few more of these lesser known gems.
This Tuesday (25th Sep 2018) Octane Solutions proudly hosted a meeting for Senior Finance, IT Executives and Experts representing various companies and industries. The event was kicked-of by Mr. Amendra Pratap (MD, Octane Solutions) and Mr. Thomas Maddocks (ANZ Software Sales Leader - Commercial, IBM). This was followed by a solution demonstration conducted by Mr. Kevin Jessop (Lead FPM Solution Specialist, IBM) and a panel discussion.
Thank you to all who attended our Executive Breakfast event; We were pleasantly overwhelmed with the response and excitement in the room.
Redefining Planning and Analysis with an infusion of Visual, Cognitive, and Predictive analytics capabilities is now a reality.
Thank you if you have come back for more! Hope our last blog Unraveling TM1 : Lesser Known Facets – Part A was meaningful. In this part we will unearth & explore few more of these lesser known gems.
No matter how much we think we know about TM1, there are always these set of conditions that make you think “what-if there was a better way”??!! For example, not having to write a bunch of codes just to delete the subsets after using it in a Source View Or not writing the same area definition twice. What-if this could be done with less or no coding at all!
Welcome back, for those who had read Part A of this blog, hope you would have tested Parallel Interaction and benefitted from it. For those who haven’t, you can read it at http://blog.octanesolutions.com.au/caveat-around-concurrent-data-loads-part-a
IBM has recently launched its Planning Analytics version 2.0.5 (on 25th June 2018); this article captures highlights of what’s new, improved and denounced.
I want to keep this blog very simple so that people who do not know the concept of blockchain can understand it. Target audience – anyone who can read English.
One of the most neglected and least prioritised activity among the grand scheme of development, in my opinion, is applying correct formats to data, both in cubes as well as standard web reports. In all fairness, if you’re one of my kind (occasionally-fall-into-a-slack type) who often miss out on this detail, then you have arrived at the right place. In my defence, I still feel that given the number of data points that one must apply formatting, it is only natural to miss a few, which then gets picked by business in live environment.
