With the rollout of Planning Analytics Workspace Local 2.0.57 (and 2.0.58 in Cloud), IBM released long-anticipated Predictive Forecasting capabilities. This allows users to generate forecast data based on historical actuals within the cube. Sophisticated statistical algorithms calculate behind the scenes to provide accurate time series projections which blend trends and seasonality.
Read MoreThe technology that eventually became TM1 was first developed in 1983 and, after a few acquisitions through the decades, it was purchased by its current owner, IBM, in 2009. Around 2014-2015, IBM began developing a major overhaul to the application in order to keep up with changing trends in the way we use technology and the changing landscape of business analytics.
Read MoreApplying AI to your planning process doesn’t mean that HAL 9000 is in the back office churning out next month’s sales numbers while analysts eagerly scribble down the results. In the current sense, predictive planning typically refers to the combination of time series forecasting algorithms and seasonality patterns from historical results to project future outcomes with greater accuracy.
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