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Case Study: Implementing a One-of-a-Kind Driver-Based Rolling Forecast Model at MD Anderson Cancer C
Topic: Webinars
Owner: Nandini Nehru
Date: 2018-08-16
Subtopic: EPM

Nandini Nehru, Perficient



In this session, you will learn how the University of Texas MD Anderson Cancer Center (MDACC) transformed a traditional annual operating budget process into a more forward-looking, driver-based rolling forecast process. In this session, we will review details of the MDACC solution design that supports rolling forecast, target setting at higher levels, and bottoms-up annual operating budgets. Attendees will gain a greater understanding of best practices and dimension design (entities, measures, and attributes) to enable flexible user input and efficient calculations.

Download File   Implementing a Driver-Based Rolling Forecast Model N Nehru.mp4

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