Prioritizing Data Science Projects

The head of innovation at a global CPG giant was trying to understand how to identify and prioritize data science projects in R&D. What areas were poised to deliver the most value, and how could the company start to build a data-driven culture within the function? BTG’s analytics and AI expert mapped internal use cases and algorithms to relevant R&D process stages and built a streamlined but powerful framework for the team to use when assessing new opportunities.

Value: An easy-to-use framework for assessing the most promising data science opportunities

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