When To Use The IBM Planning Analytics REST API (And When Not To) 

What is xP&A?

QueBIT’s typical client is a Vice-President of Finance, CFO, or an operational executive - say an Inventory manager or Vice-President of Supply Chain. Our typical conversation with them involves an aspect of digital transformation in their planning, analysis or reporting processes; and how technology may help them increase business agility, improve forecast accuracy, speed up planning cycles and make better data-driven business decisions.

Data is the fuel of all analytics, whether you want to provide accurate timely information to decision-makers on the front lines, provide a comprehensive customer dashboard to your executives, do a predictive demand forecast or simply complete your annual budget.

With the October 2020 release of IBM Planning Analytics Workspace (PAW) 2.0.57, IBM is boldly starting a brand-new chapter for Planning Analytics (TM1) leveraging their open source Carbon design system for products and digital experiences. Going forward, all IBM software products will share the Carbon look and feel.

About 20 years ago my mentor and former boss, Richard Creeth, was introduced to a new company called OutlookSoft that had developed a corporate performance management (CPM) product called Everest on top of Microsoft SQL Server and Analysis Services. Richard was well-known back then as an industry analyst and co-author of the OLAP Report and up-and-coming vendors were eager to court his good opinion. Richard was also the principal of a boutique consulting firm that specialized in financial reporting, consolidations and planning which QueBIT acquired in 2008.

Once upon a time Oracle’s Hyperion EPM (Enterprise Performance Management) solution, built on the Essbase platform, was the market leader for everything “FP&A” (Financial Planning & Analysis) from the annual budget to the rolling forecast, profitability analysis and everything in-between.

These words are being written in the middle of the COVID-19 pandemic of 2020. Businesses, faced with unprecedented uncertainty, are asking questions such as:

If you have ever worked late on an Excel analysis that required extensive data manipulation or mappings and wondered “could there be a better way?”, then this blog post is for you.

“Working from home” is all over the news right now. A quick web search yields a broad selection of articles with titles like “What you need to know to start working from home (Forbes)” and “How to work from home without losing your sanity (CNN)”. As a consultant who has mostly “worked from home” for the last 12 years, I can confirm that most of the tips are quite good, albeit repetitive.