Source
ERP transactions, master data, operational systems, and controlled external sources.
Connecting ERP data to BI, CRM, warehouse, finance, and operational systems.
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The strongest dashboard programs begin with decisions: what leadership needs to know, what operators need to act on, which definitions are authoritative, and which exceptions deserve attention.
Only then should the team decide how to model the data, connect systems, design visuals, and schedule refreshes.
ERP transactions, master data, operational systems, and controlled external sources.
Business definitions, dimensions, measures, relationships, and calculation logic.
Executive, management, and operational views designed around decisions.
Ownership, security, refresh, testing, documentation, and controlled change.
When teams calculate the same KPI differently, the problem is not visualization. It is governance.
Explore data modeling →Definitions, lineage, security, and refresh are part of the product.
Map decisions, users, source systems, metrics, and current reporting pain.
Define the semantic layer, business logic, ownership, and data-quality rules.
Design information hierarchy, drill paths, exceptions, and narrative.
Reconcile against ERP outputs and test security.
Deploy with documentation, ownership, refresh monitoring, and adoption support.
The visual system is deliberately restrained because the reporting itself should be the focus.
Discuss a reporting problem →Sometimes. The right pattern depends on volume, source architecture, security, refresh requirements, history, and how many systems need to be combined.
Define business logic and ownership in the semantic model and validate it against authoritative ERP outputs.
No. They can provide a decision layer above operational reporting while the ERP remains the transactional system of record.
Bring the report, dashboard, spreadsheet, ERP extract, or KPI definition. Start with the evidence.
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