29 min

Susan Walsh, Founder at The Classification Guru The Data Heroes Podcast (powered by RingLead)

    • Business

''Make sure the data has its coat on!'' Susan's idiom is all about data maintenance and highlights the importance of continued data quality management; to make sure it's always consistent, organized, accurate, and trustworthy. In this episode of our The Data Heroes Podcast, Susan Walsh (Founder at The Classification Guru Ltd) gives tips about getting on top of your data issues through normalization, deduplication, segmentation, and categorization.
“Ultimately, I want them to take back responsibility and ownership of their data and manage it.” Susan talks about client challenges faced and how she trains teams to develop database health strategies to ensure data is always as actionable as possible. Susan discusses supplier normalization, taxonomy development, and her upcoming book ‘Between the Spreadsheets: Classifying and Fixing Dirty Data’.
“If you've never classified data in your life, you could pick it up, read it and follow the instructions in it and classify data!”

''Make sure the data has its coat on!'' Susan's idiom is all about data maintenance and highlights the importance of continued data quality management; to make sure it's always consistent, organized, accurate, and trustworthy. In this episode of our The Data Heroes Podcast, Susan Walsh (Founder at The Classification Guru Ltd) gives tips about getting on top of your data issues through normalization, deduplication, segmentation, and categorization.
“Ultimately, I want them to take back responsibility and ownership of their data and manage it.” Susan talks about client challenges faced and how she trains teams to develop database health strategies to ensure data is always as actionable as possible. Susan discusses supplier normalization, taxonomy development, and her upcoming book ‘Between the Spreadsheets: Classifying and Fixing Dirty Data’.
“If you've never classified data in your life, you could pick it up, read it and follow the instructions in it and classify data!”

29 min

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