Each system is internally reasonable—and incomplete.
An order platform knows transactions. A returns system knows reversals. Advertising knows clicks and campaigns. Accounting knows financial records. None necessarily contains the whole business story.
- Different customer and product identifiers
- Conflicting time zones or reporting periods
- Different definitions of revenue, status, or completion
- Missing relationships between transactions
- Exports shaped for one system rather than analysis
Start with entities and questions, not dashboards.
Choose authoritative sources, preserve source identifiers, normalize formats and definitions, connect related records, validate totals, and model the questions operators and leadership actually need answered.
A unified view is a shared model of the business—not a pile of exports.
Disconnected startup data became coherent without an enterprise stack.
For a direct-to-consumer footwear startup, L Tech created automated export/import processes and normalized ecommerce sales, returns, customers, products, attribution, advertising, and analytics data into unified business views while working within startup budget constraints.