Digitization and change of FP&A
summary
Research analyzes ~75k job ads and finds FP&A roles remain ~2–3% of demand while transactional accounting is highly automatable; companies accelerate digitization after COVID. An AI-powered product (Stargazr) implements a value driver model, prescriptive analytics plus sentiment analytics and a reporting feed to translate operational KPIs into financial impact and recommend actions. Hiring trends show rising Python/R, Tableau/Hive mentions, growing emphasis on budgeting, decision responsibility and communication, and falling emphasis on routine reporting and manual data assembly.
AI-written summary · about
chapters (21)
- 0:00Intro
- 0:33Agenda
- 2:37About me
- 8:15Digital transformation
- 11:14Impact of digitization
- 13:51Impact on FPA
- 19:44Improvement on processing tasks
- 20:02New business models
- 20:47Smart Manufacturing
- 22:41Car as Computer
- 23:13Tasks
- 24:24FPA
- 26:20Big Data
- 27:27Business partnering
- 28:13Changing role of the FP analyst
- 29:12Job advertisement trends
- 31:08Shift of digitization
- 32:16IT competencies
- 33:39Big data technologies
- 36:15Communication
- 36:43Summary
related talks
31mFuture of data engineering: what's in store?
26mBusiness Decision-Making in the Era of AI
32mThe Next Wave: Data, AI And Analytics In 2019 And Beyond
27mDemocratizing analytics to scale innovation
45mData Engineering- The Fastest Growing Tech Job
04mInterview
10mpresent role and future
21mData-driven approaches in a technology startup