“I encourage clients to do more automation, diagnostic, predictive or prescriptive work with their data. That’s where the real value happens. Not in looking backward at lagging indicators.” – Douglas Laney
In this episode of Data Chats, Chris Richardson interviews Douglas Laney, author of Data Juice: 101 Stories of How Organizations Are Squeezing Value from Available Data Assets. Douglas is also an innovation fellow at West Monroe.
They discuss:
- How to generate economic value from data
- Why you should treat data like a business asset
- How to assess the value of data owned by your company
- What is inverted data monetization
- Thinking through the ethical considerations, legal aspects and unintended consequences of selling and using data before taking action
- Why we need more data managers and not just data analysts
- How to measure the financial value and business value of data
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