How to Teach an Old Firm New Tricks
summary
Explains concrete tactics for migrating legacy analytics to R, Python, SQL and AWS while keeping SAS and Excel users productive: build internal boosters across teams, pick low-risk projects to port, require adversarial replication (replicate models in a second package) — discovering a real SAS vs Stata coefficient/SE divergence — and deliver automation like a Python-generated Excel workbook so auditors get familiar outputs. Emphasizes documentation, measured pilots, and expecting a year-or-two rollout.
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chapters (7)
- 0:00Introduction and background
- 4:17Being the lone data scientist
- 8:56Building a new team from scratch
- 12:05Leading an existing team
- 18:47Joining a resistant team
- 26:54Consulting for reluctant clients
- 34:20Final advice and Q&A
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