Marketing Data Hub

Marketing data that arrives ready for decisions.

Metric Hive's Marketing Data Hub is the operating layer between source APIs and the places teams work. It collects provider data, preserves lineage, normalizes fields into governed semantic datasets, monitors trust signals, and exports modeled data to dashboards, spreadsheets, BI, and warehouses.

1

Collect source data

Connectors fetch source reports through governed credential, ingestion, interval, and source-state flows, then land the data with tenant, account, source, and date boundaries intact.

2

Normalize meaning

The hub maps provider fields into approved semantic datasets, including ad performance, web analytics, CRM, payments, ecommerce, product-ad performance, and source metadata.

3

Ship governed outputs

Explore, dashboards, transformations, Data Health, spreadsheets, BI connectors, and warehouse exports all use the same backend-owned contracts and compatibility guardrails.

What the hub owns

The Marketing Data Hub is not another reporting template. It is the shared data foundation that keeps connector ingestion, lake tables, semantic query datasets, transformations, monitoring, and exports aligned.

Cross-platform marketing contextPaid media, web analytics, CRM, ecommerce, payment, and product-ad data can stay in their own approved datasets instead of collapsing into one unsafe blended table.
Transformations with guardrailsBusiness dimensions and metrics can be shaped for reporting while backend services still own table names, SQL, tenant scope, grain, and export policy.
Data Health beside the pipelineFreshness, source failures, missing intervals, semantic queryability, and export health can be surfaced before a stale number reaches a budget meeting.
Exports that keep their shapeBigQuery, Snowflake, spreadsheets, Looker Studio, Power BI, object storage, and other destinations receive modeled datasets instead of raw provider dumps.