167: Fixing Dirty Data in the Supply Chain

Alter Everything

Innehåll tillhandahållet av Alter Everything Podcast. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Alter Everything Podcast eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

2M ago 24:54

MP3•Episod hem

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 - LinkedIn
Megan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedIn

Show notes:

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 and Mike Cusic for the for our album artwork.

183 episoder

#Tech #Machine Learning #Data Science #Data Analytics #Careers #Business #Altered #Technology #Alteryx #Data