Big Data Analytics
Enterprise data warehousing, advanced analytics, and interactive dashboards that turn complex federal datasets into actionable mission intelligence.
What We Deliver
Technical capabilities engineered for federal compliance, scalability, and measurable mission outcomes.
Enterprise Data Warehousing
Scalable data warehouse solutions on Azure Synapse, AWS Redshift, and Snowflake with star/snowflake schema design optimized for federal reporting requirements.
Business Intelligence & Dashboards
Interactive dashboards and self-service analytics using Power BI, Tableau, Cognos, and SAS Visual Analytics with role-based access control and Section 508 compliance.
ETL & Data Pipeline Engineering
Automated extract-transform-load pipelines using Azure Data Factory, AWS Glue, Apache Spark, and custom Python/Scala processing for high-volume federal data.
Statistical Modeling & Analytics
Advanced statistical analysis, regression modeling, time-series forecasting, and Monte Carlo simulations using SAS Viya, R, and Python for evidence-based policy decisions.
Data Governance & Quality
Master data management, data quality rules, lineage tracking, and metadata-driven governance frameworks that ensure federal data integrity and auditability.
Real-Time Stream Processing
Apache Kafka, Azure Event Hubs, and AWS Kinesis for real-time data ingestion, enrichment, and alerting on high-velocity federal sensor and transaction data.
Federal Use Cases
Real-world deployments across federal and state agencies demonstrating measurable outcomes.
Enterprise analytics platform processing 500M+ Medicare claims annually with Cognos and SAS-based dashboards for program integrity and beneficiary analytics.
Tax compliance analytics and anomaly detection across millions of returns using advanced statistical models and pattern recognition.
Opioid data intelligence dashboards for state health departments enabling evidence-based policy decisions and resource allocation.
Common Questions
We implement Power BI, Tableau, IBM Cognos, SAS Visual Analytics, and Qlik — all configured with row-level security, Section 508 accessibility, and federal branding standards.
We design distributed processing architectures using Apache Spark, Databricks, and cloud-native services that scale horizontally to handle billions of records while maintaining data quality and audit trails.
Yes. We implement streaming architectures with Apache Kafka, Azure Event Hubs, and AWS Kinesis for real-time dashboards, alerting, and operational intelligence across federal programs.
We follow DAMA-DMBOK and federal Data Strategy principles to implement data catalogs, quality scoring, lineage tracking, access controls, and stewardship programs aligned with CDO mandates.