Top Future Skills in 2022: A Framework for Corporate Data Literacy
summary
Claims that most nontechnical employees must become data literate, backed by the observation that 80% are data collectors and much enterprise data is unstructured. Describes building e‑learning programs to train general staff and specialists, using automated email/NLP parsing, A/B testing and predictive modeling to turn noisy records into decisions. Highlights practical gaps: missing data hygiene, low trust, unclear use cases, and says start with a simple, high‑value pilot that proves joinable shareable curable data.
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chapters (7)
- 0:00Corporate data literacy intro
- 1:07What data literacy means
- 3:54Unstructured data risks
- 6:20Data interpretation challenges
- 8:50Data-driven decision fundamentals
- 10:35Obstacles to data culture
- 11:18Building data literacy
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