Data
Bringing scattered data together
How we connect data from different systems for consistent reporting and easier access to business information.
Challenge
Data is scattered across several systems. Every business question means a manual export and reconciling spreadsheets — and two reports give two different numbers.
Approach
We model the questions before choosing storage. We build one source of truth that fills incrementally, and keep it reachable by the people who ask the questions.
Expected benefits
Reporting requires less manual work, and indicators have consistent definitions. The team can access data more easily and use it for business decisions.
This is a method note: it describes how we approach this kind of problem, not a write-up of a named client.
Data for business decisions
Before choosing storage, we define the information the company needs for reporting and decision-making. We review existing sources, data quality and reconciliation processes, then prepare a data model and integration plan.
How we approach it
- Questions first. We map the decisions the data should support. The model follows the questions, not the other way round.
- One source of truth. One agreed definition for each concept — "active customer," "revenue" — so two reports can no longer contradict each other.
- Incremental. We connect the sources that matter most first and deliver value as we go, not after a long silence.
- Reachable. The result stays queryable with tools the team already knows — it doesn't require a new department.
What changes
Automatic connections between sources reduce manual exports and spreadsheet reconciliation. Reports use the same indicator definitions, so departments can plan and make decisions using consistent data.
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