Case Studies

Enterprise Data & AI Case Studies

Real outcomes from organizations that modernized their data foundations, standardized decision‑making, and built AI‑ready architectures. Each story reflects founder‑led delivery, operational rigor, and measurable impact.

Healthcare

AI Strategy & Transformation Roadmap

From fragmented analytics to an enterprise AI operating model.

40% reduction in redundant analytics work
12‑month AI roadmap adopted
AI use cases funded across 3 BUs
Challenge
Leadership lacked a unified AI strategy and teams were making inconsistent decisions.
Approach
Built an AI roadmap, governance model, and scalable predictive architecture.
Outcome
Redundant analytics reduced by 40% and AI use cases prioritized.

Financial Services

Enterprise Data Strategy

Building a unified data foundation for C‑suite decision‑making.

30% faster reporting cycles
Standardized KPIs enterprise‑wide
Governance framework adopted
Challenge
Leadership lacked visibility into performance drivers.
Approach
Defined KPI framework, governance, and unified data models.
Outcome
Reporting accelerated by 30% with consistent metrics.

Life Sciences

Data Warehouse Modernization

Modernizing legacy infrastructure for scale, speed, and compliance.

60% faster processing
Audit‑ready lineage
FDA‑aligned architecture
Challenge
Legacy SQL Server environment couldn’t support growth or compliance.
Approach
Modernized architecture using Fabric/Synapse patterns.
Outcome
Processing improved 60% with audit‑ready lineage.

Insurance

Dashboards & Visualization

Transforming operational reporting into executive intelligence.

50% reduction in manual reporting
Real‑time visibility
Standardized metrics
Challenge
Teams were drowning in spreadsheets with no real‑time visibility.
Approach
Built executive dashboards and semantic models.
Outcome
Manual reporting cut in half with real‑time insights.

Ready to build your own transformation story?

If you see your organization in any of these case studies, we should talk. We’ll map a clear path to an AI‑ready, enterprise‑grade data foundation.

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All case studies are anonymized to protect client confidentiality while preserving the scale, complexity, and outcomes of the work delivered.