Five Secrets to Enterprise Data Success
summary
Five concrete practices for getting enterprise data to work: plan for a cloud or on‑prem data lakehouse but start by solving for specific personas not a mythical enterprise scope; pick partners whose risk appetite matches yours (Databricks, Microsoft, Denodo examples); ship high quality data products organized by data catalog, not piles of tables; normalize enterprise data where consumers need apples to apples; insist on business data owners (often SVP level), governance, change management and avoid the fate of 40% of projects unused.
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chapters (10)
- 0:00Introduction and background
- 2:10Five secrets to enterprise data success
- 3:59Start small with data lakehouse
- 6:50Focus on data products over collections
- 9:40Adoption is more important than perfection
- 13:14Enterprise data is your second asset
- 15:40Normalize enterprise data carefully
- 22:09Self-service data culture challenges
- 26:47Business data owners and governance
- 28:14Change management for data initiatives
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