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CASE STUDY: Ferro Leverages Economic Data to Improve Forecast Accuracy


Ferro is a diversified specialty chemicals company which has a global presence across multiple end-market industries. Ferro wanted to implement a robust product & region-level sales forecast model based on external market forces which are likely to influence their sales. Capgemini’s Predictive Analytics developed an external market data-driven sales forecast model to address key planning, reporting and analysis requirements at Ferro.

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