Marketing Measurement Infrastructure
The reporting problem wasn’t a chart problem. The underlying data flow mixed platform data, transformation logic, and presentation.
Starting point
Performance data came from multiple marketing platforms with different schemas, definitions, and refresh processes. Reporting logic was distributed across the pipeline and presentation layer.
That made changes harder to trace. A metric could be wrong because of ingestion, transformation, taxonomy, or chart logic, and the reporting layer didn’t make that distinction obvious.
The decision
Separate the system into layers with clear responsibilities. The dashboard shouldn’t be responsible for cleaning or redefining source data.
The architecture
Controls added around the flow
- Documented source and reporting definitions
- Standardized transformation logic
- Campaign and taxonomy mapping
- Automated refresh schedules
- Data-quality checks at the appropriate layer
What changed
The architecture made failures easier to isolate and new sources easier to add. Raw data, business logic, and presentation could be changed independently instead of being tightly coupled.