Why is Data Science still not a mainstream in Corporations
summary
Argues that data science drives direct revenue not just cost cuts and lists concrete deployments at Telenor Serbia: a next-best-offer system using a 360° customer view, a churn-prediction pilot built with a third‑party vendor now in production and under evaluation, and B2B account intelligence that surfaces offers for field teams. Claims measurable uplifts in retention and targeted sales, notes a 100:1 job ad imbalance (IT vs data science), and names blockers: lack of data‑science managers, poor data governance, weak top‑management investment and misaligned compensation.
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chapters (11)
- 0:00Start
- 5:52Data Science reduces intuition
- 8:53KEY ENABLERS for Data Science Success in Corporations. 1.
- 11:16Maximise a commercial return from Data Science.
- 14:06Maximize revenue from existing services through old & new channels.
- 16:32Maximize retention success.
- 17:40Offer New services based on Big Data & Data Science
- 22:52Employee skills, fit & compensation
- 27:21Next Best Offer (NBO) - best suitable product in right time. 4.
- 29:11Churn prediction modeling: Identify critical MSISDN with highest probability to churn using Machine Learning in ,R .
- 34:00SUMMARY
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