DeveloperWeek 2015 Conference + EXPO

Distilling raw data into insight is a many-layered process. Data needs to be gathered, cleansed, transformed, modeled, validated, queried, investigated, visualized and understood before it can be lead to actions taken by a business. Historically, the functional skills have been grouped into specialities for efficiency and scale - data engineering, data analysis, report/dashboard/visualization development, data science, etc. What often gets lost in that arrangement is the context of the questions we were asking in the first place! Here we share a case study of how Netflix has aligned its efforts to optimize for the delivery of insight across the company.