“Joel Test” for Data Science

It’s the sixteenth anniversary of Joel Spolsky’s “Joel Test,” which he described as a “highly irresponsible, sloppy test to rate the quality of a software team.” Back then (the late 1990s), software development was: Being recognized across industries as an invaluable capability for improving business outcomes; Undergoing a change from solo practioners and small teams to large collaborative teams; Undergoing a rapid evolution of best practices and tooling to support its practitioners; Heavily in demand, creating lucrative job opportunities for competent practitioners; Eating the world. We think data science is going through a similar phase of evolution and maturation, so we thought it would be helpful to write something like the Joel Test for assessing the maturity of your data science program. It’s our “highly irresponsible sloppy test to rate…

Link to Full Article: “Joel Test” for Data Science

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!