Nielsen Retail Scanner Data Database


PI: Adam Guren, Economics, CAS

This project seeks to create a scalable structural database that allows for relational queries to make the Nielsen data more easily used for research. This project will have broader impacts across Boston University as many faculty across the university have expressed interest in extracting from this rich data resource. Having a database for the Nielsen Scanner Data would be of great help to a number of research projects and would more broadly help spur research projects at BU interested in consumer and firm behavior.

This work is funded by a Hariri Research Award made in January, 2017.