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Data Engineering & Analytics

Replace reporting workarounds with data your team can explain.

Address the gaps between source systems, reporting and the decisions people need to make. Define the required data, connect and transform it, and make its quality and ownership visible.

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Relevant client work

Driven Brands project context
Client work

Bring more brands into Driven Dash.

Brand integrations and scheduling features extended Driven Dash, with metric-source documentation for the teams using its reports.

Explore the Driven Brands work

Brand integrations, metric definitions and operational reporting.

When this matters

When reporting has become a weekly reconstruction.

If teams export the same data, reconcile different totals and rebuild the same report, a dashboard alone will not solve the problem. Trace the question to its source systems, agree definitions and put checks where the data moves. The useful result is a number people can explain and a process they can maintain.

What the work includes

A source and measurement model

Map where the information comes from, what business measures mean and who owns each definition. Identify missing fields, conflicting records and access constraints.

Data pipelines and quality checks

Build the required collection, transformation and reconciliation steps. Surface failures and stale information so people can investigate issues at their source.

Decision-focused reporting

Create datasets, dashboards or analytical views around actual operating questions. Document definitions and update responsibilities so the reporting remains usable.

Your team receives documented source mappings, metric definitions, quality checks and the reporting built in the agreed scope. Source-system owners approve access and resolve conflicting definitions. Assign an owner for failed checks so data quality remains an operating responsibility after launch.

How we measure progress

Check how current the data is, how often sources disagree and how long reporting takes to prepare. Give each failed check an owner and a path to correction.

Data freshnessReconciliation exceptionsReporting preparation time

When to start elsewhere

Systems Integration

When a report depends on records that do not move reliably between applications, address the source connection.

Conversion & Analytics

When the question is why visitors or leads drop out, connect the data work to journey analysis and implementation.

Which number does your team keep rebuilding or disputing?

Bring the report, source systems and decision it needs to support. We can define the data model, quality checks and implementation scope.

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