The shape of it
Many systems in, one store, every consumer out
SourcesSAP · ERPCRMAPIsSpreadsheetsDatabases
Governed storeOne data model, common definitions, access decided before anything is exposed
SnowflakeDatabricks
ConsumersPower BISuperset · GrafanaApplications
Authorised AI
How the data gets there
Four steps, in order
01ConnectApplications, SAP, databases, documents and spreadsheets brought into one pipeline.Data pipelines · Data engineering
02Clean and matchWe remove the duplicates and match your vendors, employees, projects and assets to a single record.Data quality · Master-data alignment
03Organise and governCommon definitions are set, and who may access what is decided before anything is exposed.Lakehouses · Governance
04UseReliable information made available to dashboards, reports, applications and authorised AI.BI and dashboards · AI-ready data products
Proof
Where this already runs
SiemensSAP master data, live in every form
Siemens' SAP masters, including open POs, BOMs, vendor and plant stock, sync directly into the platform, so every delivery challan and shortfall report references validated, current master data.
Read the case study →COMESAOne KPI framework across 21 states
Twenty-one member states report into one validated central repository with uniform KPI definitions, replacing country-by-country files that could not be compared or tracked over time.
Read the case study →The foundation feeds the layer above it. See what runs on top.
Sovereign AI →