Listen "167: Fixing Dirty Data in the Supply Chain"
Episode Synopsis
Susan Walsh, The Classification Guru, joins us to chat about dirty data. Susan sheds light on how unclassified and inaccurate data can lead to significant, often hidden, business expenses and operational disruptions. From supply chain procurement challenges to missed opportunities in data governance, Susan walks us through the common pitfalls and offers actionable tips to help organizations clean up their data efficiently.Panelists: Susan Walsh, The Classification Guru - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Supply Chain Starter KitBetween the Spreadsheets: Classifying and Fixing Dirty Data
Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.
Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.
More episodes of the podcast Alter Everything
196: AI Model Strategy in Translation
22/10/2025
195: Data Analytics for Internal Auditors
08/10/2025
194: AI and Data Pipelines
24/09/2025
191: Data Hot Topics with DataFramed
13/08/2025
190: Alteryx Use Cases in the Tax Industry
30/07/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.