If you wouldn't build your own ERP, why build your own data warehouse?
Nobody writes their own ERP from scratch. The same logic applies to the warehouse underneath your reporting.
About this session
If your reporting runs on manual exports, systems reconciled by hand and numbers spread across too many places, the missing piece is a data warehouse: one governed source, with every calculation defined once and duplicates stopped before they reach a report.
Zap CEO Christopher Reeves explains what a data warehouse has to do for ERP data, and why building one yourself is harder than it looks: at least a hundred interlinked tables, credits and reversals, transactions that straddle periods and a finance team that's busiest at month end. He also covers when you don't need a data warehouse at all.
You’ll learn
- What a data warehouse gives you that a direct ERP connection or a data lake can't
- Why a pre-built ERP data model and ERP-aware automation save months of building
- How a semantic layer gives Power BI and Excel one version of every calculation, and why it has to stay in sync with the warehouse
- When a data warehouse is overkill, and when it isn't
Part of the Zap ERP Reporting Series: practical sessions for teams who want to stop rebuilding reports and start operating from numbers they trust.