You need a reporting model for visualization use cases that turns raw source data into consistent, governed facts and dimensions. The model should support dashboard performance, stable business definitions, and historical analysis without exposing raw operational complexity to report authors.
Dimensional modeling for facts, dimensions, grain, and surrogate keysELT design for staging, intermediate, and mart layersData quality controls for referential integrity, freshness, and schema stabilityOrchestration of model builds, dependencies, retries, and backfillsAssume the output is consumed by the Synechron visualization layer and common BI tools. The key challenge is designing a model that is easy for analysts to use while staying maintainable as source systems and business logic evolve.