Data & Analytics Modernization

Clean data, trusted metrics, and the backbone your AI needs

We upgrade the data layer that mid-market companies rely on: pipelines, models, governance, and the dashboards everyone checks. You get real-time visibility, clear ownership, and infrastructure ready for copilots.

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Modernizing the data foundation

Critical systems — finance, CRM, product telemetry — often live in silos with undocumented transformations. We consolidate sources, layer in governance, and surface metrics everyone trusts before layering on AI workloads.

Data quality audits that uncover lineage gaps, stale pipelines, and reconciliation issues between finance and go-to-market data.

Enterprise-ready architecture on Azure Data Lake, Synapse, Fabric, or Databricks with CI/CD and observability baked in.

North-star dashboards for revenue, pipeline, retention, and unit economics with drill-downs and alerting.

Engagement shape

How we deliver clarity

Phase 01

Current-state diagnostics

System inventory, lineage mapping, quality scoring, and executive alignment around must-have metrics.

Phase 02

Future-state blueprint

Technical architecture, sequencing plan, and investment options with ROI and risk assumptions.

Phase 03

Build, migrate, and enable

Implementation sprints, automated validation, and enablement that transitions ownership to your teams.