Civilian / Government

Type|Data Platform ConsolidationTimeline|12-month phased implementation

Environment

Civilian federal agency with 14 regional data systems requiring FedRAMP Moderate consolidation

Environment

Civilian federal agency with 14 regional data systems requiring FedRAMP Moderate consolidation

The Challenge

A civilian federal agency operated 14 disparate data systems across regional offices with no unified reporting capability. Duplicate records, inconsistent taxonomies, and manual reconciliation consumed over 2,000 staff hours monthly while preventing leadership from accessing timely operational metrics.

Our Approach

Phased data consolidation using medallion lakehouse architecture with automated data quality rules, master data management, and a governed semantic layer enabling self-service analytics for 200+ end users.

Reference Architecture

FedRAMP Moderate · OCI Gov + Snowflake

Measurable Outcomes

2,000+ hours/month → Automated

Manual Reconciliation

23% → Under 1%

Duplicate Records

2 weeks → Same day

Reporting Latency

FedRAMP Moderate ATO achieved

Authorization

Typical Outcomes

Eliminated 2,000+ monthly hours of manual data reconciliation
Reduced duplicate records from 23% to under 1%
Enabled same-day operational reporting (previously 2-week lag)
Achieved FedRAMP Moderate authorization for consolidated platform

Delivered System

Centralized data lakehouse consolidating 14 legacy systems
Automated MDM pipeline with fuzzy matching and deduplication
Governed semantic layer with role-based access and audit trails
Executive dashboard suite with drill-through to source records

Technology Stack

SnowflakeOracle Cloud (OCI)Power BITerraformApache Airflow

More Case Studies

Healthcare / GovernmentPattern8-month implementation

Health Data Platform Modernization

Data Platform Modernization

Legacy data systems preventing real-time health analytics and decision-making across multiple facilities. Siloed data sources made it impossible to gain unified insights, while aging infrastructure created security vulnerabilities and compliance risks.

Approach

Modern data lakehouse architecture implementation using Snowflake and Databricks, with real-time data pipelines and Power BI dashboards. Robust data governance frameworks and automated ETL processes ensure data quality and regulatory compliance.

Measurable Outcomes

Batch Processing Latency

Overnight → Near-real-time

Cross-Facility Analytics

Unified under HIPAA governance

Explore This Pattern

Defense / LogisticsPattern6-month implementation

Supply Chain Analytics Transformation

AI-Powered Analytics

Critical supply chain visibility gaps affecting military readiness. Manual tracking processes led to delays in equipment delivery and maintenance scheduling, impacting operational capabilities.

Approach

AI-powered supply chain analytics platform with predictive maintenance capabilities and real-time inventory tracking. Integration of disparate logistics systems into a unified command dashboard with automated alerting.

Measurable Outcomes

Maintenance Approach

Reactive → Predictive alerting

Inventory Visibility

Days → Near-real-time

Explore This Pattern

Enterprise Data Consolidation & Governance

Problem Space

Approach Pattern

System Design

By the Numbers

What We Built

Technologies Used

Explore More

Health Data Platform Modernization

Supply Chain Analytics Transformation

Want Similar Results?

Enterprise Data Consolidation & Governance

Problem Space

Approach Pattern

System Design

By the Numbers

What We Built

Technologies Used

Explore More

Health Data Platform Modernization

Supply Chain Analytics Transformation

Want Similar Results?