Data & AI
From scattered records to a single source of truth
The practical steps of building a warehouse in an organisation running seven independent systems.
By Administrator7 min read528 views
No warehouse project starts with modelling. It starts with "who is a customer?", and the answer differs in all seven systems.
Identity resolution first
Before any modelling you need a resolution layer that maps one customer's records across sources onto a single id.
Measure data quality
Every pipeline should emit quality metrics: rejected-record rate, freshness, and drift from the previous period. Without them, errors hide for months.
Dimensional modelling
For management reporting, a star schema is still the simplest and fastest choice.
