These engagements reflect our typical work: complex, multi-year programs with measurable business outcomes. Each involved senior practitioners from discovery through production.

Financial Services

Global Investment Bank

18 months12 practitioners

Unified Risk Data Platform

Challenge

A global investment bank struggled with fragmented data across 15+ legacy systems, making regulatory reporting a manual, error-prone process taking 3+ weeks per cycle. Risk aggregation required reconciling data from multiple sources with inconsistent definitions.

Solution

We designed and implemented a unified data platform that consolidated risk, finance, and operations data into a single source of truth. The architecture included real-time data pipelines, a governed semantic layer, and automated regulatory report generation.

Technologies

SnowflakeKafkadbtAirflow

Measurable Outcomes

3 weeks → 2 days

Reporting cycle

40%

Data accuracy improvement

$8M

Annual cost savings

100%

Regulatory compliance

Healthcare

National Healthcare Network

24 months8 practitioners

Population Health Analytics Platform

Challenge

A healthcare network with 200+ facilities lacked visibility into population health metrics. Clinical data was siloed in dozens of EHR systems, preventing meaningful analytics and care coordination across the continuum.

Solution

We built a clinical data warehouse integrating 50+ data sources with HIPAA-compliant data governance. The platform enabled population health analytics, care gap identification, and quality measure reporting while maintaining strict patient privacy controls.

Technologies

DatabricksSparkHL7 FHIRTableau

Measurable Outcomes

50M+

Patient records unified

200%

Increase in care gap closure

30%

Reduction in readmissions

15 min

Report generation (was 2 days)

Energy & Utilities

Regional Utility Provider

14 months6 practitioners

Predictive Asset Management System

Challenge

An electric utility with 10,000+ miles of transmission infrastructure experienced costly unplanned outages. Equipment failures were reactive, maintenance was scheduled based on age rather than condition, and operational data sat unused in siloed systems.

Solution

We implemented an operational data lake integrating SCADA, sensor, weather, and maintenance data. Machine learning models predict equipment failure probability, enabling condition-based maintenance and optimized capital planning.

Technologies

Azure SynapseAzure MLIoT HubPower BI

Measurable Outcomes

35%

Reduction in unplanned outages

$12M

Annual maintenance savings

2 weeks

Failure prediction window

45%

Improvement in asset utilization

Manufacturing

Global Manufacturing Company

20 months10 practitioners

Supply Chain Intelligence Platform

Challenge

A multinational manufacturer lacked visibility into their multi-tier supply chain. Demand forecasting was inaccurate, inventory was either excessive or insufficient, and supplier performance couldn't be measured consistently across regions.

Solution

We built an end-to-end supply chain data platform connecting 500+ suppliers, 20 manufacturing sites, and 30 distribution centers. Advanced analytics enabled demand sensing, inventory optimization, and supplier risk monitoring.

Technologies

SnowflakeFivetranAlteryxLooker

Measurable Outcomes

25%

Inventory cost reduction

40%

Forecast accuracy improvement

500+

Suppliers integrated

$50M

Working capital freed

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