Explore our Education blog series to grow your knowledge of TM1 and Planning Analytics. From step-by-step guides to practical learning tips, these posts are designed to help you build skills, gain confidence, and get more from your Cubewise tools.
Cubes are question answering machines. The goal when building them is to make it easy to answer our business questions about the data — so we mimic the business processes the cubes are built for, not the data structures of the source databases. This Field Guide gives an overview of key IBM Planning Analytics cube-design principles to meet that goal: the shapes to recognize, when to split cubes, hierarchies, standard FP&A model architecture, detail cubes, drill-back, and commentary.
In this handbook, I introduce and discuss key corporate finance concepts. The framework is intended to give a broad overview, as well as some specifics for each topic, to aid people working on building models for FP&A and related operations. While it is primarily geared toward developers, it also serves to help the finance subject matter experts understand the bridge terminology between finance and technology.
After completing the Advanced MDX in PAW course with Cubewise EDU, Helen Ward of John Crane transformed a complex 110-sheet Excel financial model into a streamlined 8-page PAW dashboard - delivering the same insights in a far more dynamic and maintainable way.
