“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.
It’s March 2020, and many companies are facing the reality that the carefully crafted financial plans and budgets they started the new year with are suddenly, and dramatically, out of date. While it’s common to re-forecast after a quarter, it’s less common to have to revisit ALL your budget assumptions wholesale, as many organizations are now scrambling to do.
Enterprise Resource Planning, or ERP, software is used by businesses of all sizes to support its financial and operational business processes. Most vendors offer a menu of modules that can be combined so that data flows seamlessly from one to another, mirroring information flow through the business.
Since spreadsheets were invented in the 1980s, they have been the tool of choice for anyone doing planning and analysis. Financial analysts use them for the annual budget, the long-term strategy plan, allocations, profitability modeling etc. Sales and operations planners use them for capacity planning, sales planning, scheduling and much, much more.
Since Design Thinking is a methodology growing in popularity and being taught at leading universities around the world, I thought it would be a worthwhile topic to explore. Just what is this design thinking and how does it compare to other mythologies, such as Agile?
Way back in 2014, I offered some ideas for when there was a need to conduct a performance assessment of a TM1 model with limited time or budget. This scenario often still arises, even though TM1 has evolved into IBM Planning Analytics, so I thought it might be interesting to revisit some of my original recommendations to see if they may still be helpful.
IBM returned to Miami this year with a renamed and somewhat-rebranded version of the conference formerly known as IBM Analytics University. The concept of this new IBM Data and AI Forum was structured around IBM’s “AI ladder” and the rungs of that conceptual ladder: Modernize, Collect, Organize, Analyze and Infuse. It should come as no surprise that “AI” was, thus, more prevalent as a topic of discussion.
The ASC 606 revenue recognition rules took effect for most public companies in December 2017. This Accounting Standards Update explains how and when your organization would recognize revenue from contracts with your customers. The guideline helps improve the comparability of revenue recognition practices, provide more useful information to financial statement users, and simplify the preparation of financial statements, for example. While many companies have gone through the trouble to restate actuals to follow the new ASC 606 standards, some are not yet ready to forecast and plan revenue on the same basis. They still need to update their budgeting and forecasting processes to align with the new standards. Here are FIVE STEPS to follow to update your planning processes and model to conform to the ASC 606 standards.
The field of analytics has exploded over the decade as data itself has exploded. From the phone in your pocket to “smart” toilet paper holders which analyze your “technique” and automatically reorder paper when you’re out (I bet you think I’m joking…I’m not), data and analytics inundate our lives. Harnessing the meaningful stuff and letting go of the rest is more difficult and yet more important than ever. Hmm, just re-read that last sentence and that’s a great life lesson, not just a declaration about analytics, isn’t it!