Context
A platform managing thousands of accounts with varying strategic importance and engagement patterns
Problem
Inconsistent and slow classification workflows reduced confidence in account data and hindered timely decision-making.
Constraints
Account data originated from multiple internal and external sources with differing update frequencies and reliability characteristics.
Scope
Platform owner responsible for service reliability, data freshness, and performance under growth.
Strategy
Stabilize classification logic behind well-defined services and prioritize predictable performance over ad-hoc enrichment.
Architecture
Implemented classification APIs backed by a unified data store with clear service boundaries, caching strategies, and monitoring.
Impact
Delivered consistent and performant account classification used reliably by downstream sales and support systems.
Effects
Teams shifted from questioning data correctness to acting on it with confidence.
Key Insights
Reliability is achieved when systems behave predictably, not when they attempt to be exhaustively complete.