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Case study: Integrated Business Planning – Provides continuous visibility and drives consensus. Business Context. A leading CPG manufacturer wanted to create a centralized planning system backed by AI-driven predictivemodelling to drive consensus across multiple business functions and leverage synergy.
There are several compelling business factors that drive this solution for many clients which we’ll discuss, but the reality is that it is not a technical driver, it is a businessdriver.
For example, proposed forecasts may come from customers, if their forecasts are based on forward-looking information about product and technology plans that would be difficult for the data scientist to extract as inputs into a predictivemodel. Perfection is not possible.
Prioritize Next, prioritize the desired functionality based on businessdrivers. Predictive analytics use a combination of data sets from multiple sources to find relationships and correlations. Time: What features do you need now? Which features can wait?
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