Fixing dirty data with Susan Walsh, The Classification Guru

Description: In this episode, Jason talks to Susan Walsh, the self-named Classification Guru, about dirty data in the context of your data strategy. They discuss what dirty data is, why the quality of data becomes bad in the first place and the impact dirty data has on organisations in terms of regulation, commercials, budget and misinformation. They also discuss Susan’s method, COAT, on how to fix dirty data and stop it from becoming dirty in the first place.

Om Podcasten

The original data podcast. The Hub and Spoken podcast is a series of fascinating discussions with today's top data and business leaders from across the business world. The conversations explore how to add most value to organisations through the use of data and analytics, and how best to organise yourself to achieve that value. It talks about how to define and deliver data strategy, and the best way to return business value.