Cohort analysis

Cohort analysis is a kind of behavioral analytics that breaks the data in a data set into related groups before analysis. These groups, or cohorts, usually share common characteristics or experiences within a defined time-span.[1][2] Cohort analysis allows a company to "see patterns clearly across the life-cycle of a customer (or user), rather than slicing across all customers blindly without accounting for the natural cycle that a customer undergoes."[3] By seeing these patterns of time, a company can adapt and tailor its service to those specific cohorts. While cohort analysis is sometimes associated with a cohort study, they are different and should not be viewed as one and the same. Cohort analysis is specifically the analysis of cohorts in regards to big data and business analytics, while in cohort study, data is broken down into similar groups.

  1. ^ Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Laks VS Lakshmanan. Cohort representation and exploration. Turin, Italy: IEEE Conference on Data Science and Advanced Analytics (DSAA) 2018.
  2. ^ Dawei Jiang; Qingchao Cai; Gang Chen; H. V. Jagadish; Beng Chin Ooi; Kian-Lee Tan; Anthony K. H. Tung. Cohort Query Processing (PDF). Proceedings of the VLDB Endowment, Volume 10, Number 1, October 2016.
  3. ^ Alistair Croll; Benjamin Yoskovitz (15 April 2013). Lean Analytics: Use Data to Build a Better Startup Faster. Sebastopol, CA: O'Reilly. ISBN 978-1449335670.