Analytics and Decision Systems
Summary
Built regional analytics functions and data operating models across Southeast Asia, turning large operational datasets into decisions that moved retention, usage, and growth.
Why it mattered
- Converted large operational datasets into practical decisions and interventions.
- Built a shared analytics language across product, operations, and leadership teams.
- Demonstrated repeatable value from data through iteration and accountable ownership.
What I did
- Deployed churn modelling and customer segmentation that improved retention by 13% across multiple markets.
- Established analytics systems that contributed to 43% usage growth.
- Modernised architecture and data operations supporting 16× revenue growth (USD964K to USD15M).
- Built marketplace optimisation models informing operational and commercial strategy in a multi-country, matrixed organisation.
- Instituted short experiment loops, decision reviews, and metric quality standards across teams.
Lessons / principles
- Analytics creates value when tied to owners, timelines, and measurable decisions.
- Small experiments and fast feedback loops outperform large speculative programmes.
- Adoption improves when measurement is part of the everyday operating rhythm.
Status
2016–2023 Past