Democratizing analytics to scale innovation
summary
Most companies land around 2.2/5 analytic maturity, keeping a tiny core of data scientists on Hadoop/Databricks and a large population of spreadsheet-reliant knowledge workers who must throw questions over the wall. A Harvard Business Review study finds that centralized handoffs score 0% satisfaction. Large upskilling programs move many to basic automation—PwC upskilled 3,000 CPAs but fewer than 1% become data scientists—yet focusing on automate 80% of tasks yields rapid ROI and practical scaling.
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chapters (9)
- 0:00Welcome and introduction
- 1:47Analytics maturity challenge
- 8:01Failed upskilling strategies
- 12:11PwC’s evolution approach
- 16:20Balanced investment model
- 19:12Enterprise and citizen scale
- 22:00Transformation journey steps
- 24:07Real upskilling beyond tools
- 26:14Closing and resources
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