Very thought-provoking (if not sobering) article…if your Analytics program is not heading in the direction you hope, this article provides very clear places to start hunting for improvement. Many thanks to Walt Frick for this find!
https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ten-red-flags-signaling-your-analytics-program-will-fail
The Organisation for Economic Co-operation and Development (OECD) also has data and data tools available, including for global education. Here’s an example for Enrollment Rate.
https://data.oecd.org/education.htm
https://nces.ed.gov/ipeds/use-the-data
U.S. Department of Education’s Integrated Postsecondary Education Data System (IPEDS – which has its own tools for data extraction around topics like enrollment, institutional characteristics, pricing, outcomes measures, graduation rates, financial aid, etc)
https://www.educationdive.com/news/free-tool-allows-institutions-to-easily-analyze-compare-ipeds-data/522688/
A recent EducationDIVE brief outlined the Data USA tool, an online data tool developed by Deloitte, Datawheel, and the MIT Media Lab with the goal “…to understand and visualize the critical issues facing the United States in areas like jobs, skills and education across industry and geography. And, to use this knowledge to inform decision making among executives, policymakers and citizens.”
How Stitch Fix Turned Personal Style into a Data Science Problem
https://hbr.org/2018/05/stitch-fixs-ceo-on-selling-personal-style-to-the-mass-market
So often we focus on the mechanics of building the right algorithms. This article emphasizes the importance of building the right organization — with Data Science reporting directly to the CEO. And how Human and Artificial Intelligence can work together to deliver a more personalized product. I finally found time to start reading the latest issue of HBR…and this article really stands out.