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.
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.
With users unceasingly (almost perennially) demanding higher data upload speed and concurrent transfers, this blog offers insight and considerations one should keep in mind while simultaneously executing a Turbo Integrator (TI) process. It also highlights steps to avoid TI looping and/or thrashing.
Most who are still on Cognos Business Intelligence software version 10.2.x would know that the software version was due End of Service this April 2018. It was quite dreading for existing users who had not planned an upgrade to Cognos Analytics (or C11 as it is called within IBM) just yet as it wasn’t really a straight forward version upgrade but a complete overhaul in the way you would interact with Cognos BI; more intuitive, user friendly and insightful but requires a bit of learning and a little more unlearning.
In this weeks blog, our team make it our duty to shine some light on right tool your company can choose to meet your business needs. We will cover the much discussed benefits of installing and using IBM's Planning Analytics workspace on Windows 2016.Contents
Topics: Technical, Business Intelligence, PlanningAnalytics, TM1, TM1 Training, Aritificial Intelligence, Upgrade, Finance, Accounting, Planning Analytics, PA, IBM PA, Planning Analytics Workspace, IBM Microsoft Windows Compatibility, PA and PAW, PAW, PA Workspace, PAW and PA
As a TM1 consultant, one of our challenging tasks is improving performance.
Often dynamic subsets cause memory leakage and in turn affect performance. Let’s discuss, how to convert dynamic subset to static subset with an example.
Loss vs Gain?
As we know – one thing that is constant is change and in the technology the change is always for the advancement from current and improvising the existing features.
With today's increase in data volumes it is becoming more important to handle the high demand (either loading or accessing) of data conccurrently or in parallel. This blog will assist you by noting the benefits, enabling the functionality, as well as giving you an example.