interviewed at – Lutz Finger
summary
Book argues ask measure learn as a concrete workflow: start with a specific question, pick metrics and social sources, then apply munging, recommendation engines or machine learning and organizational change to act. Uses social media data across departments (sales, marketing, PR) and real clients — governments, Olympics, FIFA — to show what gets built and what works. Claims 20% is tech 80% is hype, orders chapters by best-case storytelling first, theory last, and warns don't go for 42.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 0:41Big data hype problem
- 2:25Asking the right question
- 3:26Data solutions for business
- 4:51Social media as data source
- 5:52Book structure
- 7:17Defining data goals
- 8:00Data for global challenges
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