Prioritizing Data Science Projects

July 31, 2019 Summer Foote

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 

Previous Article
Driving Data Science Adoption
Driving Data Science Adoption

The global head of R&D Strategy and Operations at a global pharmaceutical company was establishing an enter...

Next Article
What is InsurTech? Six Technologies Disrupting Insurance
What is InsurTech? Six Technologies Disrupting Insurance

The insurance industry has been plagued by slow growth for years—particularly in mature markets like the US...