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Data Engineering & Analytics

Replace reporting workarounds with data your team can explain.

When every report starts with exports and conflicting totals, the work begins behind the dashboard. We connect the source data, define what the numbers mean and build checks and reporting your team can maintain.

What we deliver

Trace the decision back to its sources.

Start with the report people keep rebuilding or disputing. We examine where the information comes from, what changes along the way and who can resolve an exception.

  1. A source and measurement model

    Document source mappings, business definitions and ownership. Identify missing fields, conflicting records and access constraints.

  2. Pipelines with quality checks

    Build the agreed collection, transformation and reconciliation steps. Surface failures and stale information where people can investigate and correct them.

  3. Reporting built around a decision

    Create the scoped datasets, dashboards or analytical views. Document definitions and update responsibilities so the reporting remains useful after launch.

Driven Brands project context
Client work · Driven Brands

Extend the platform and explain the numbers behind it.

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

Read the client story

Brand integrations, metric definitions and operational reporting. Image shown for client context.

Give data quality an owner.

Source-system owners approve access and resolve conflicting definitions. The handoff includes documented mappings, quality checks and the reporting in scope, with a named owner and correction path for failed checks.

Measure the reliability of the reporting process.

Track data freshness, reconciliation exceptions and the time it takes to prepare a report. These measures show where manual reconstruction persists and which source problems need attention.

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 will define the data work and quality checks needed for a useful first scope.