Business Intelligence & Data Analytics
“You can’t manage what you don’t track” - Peter Drucker, Author
Data is an organizations highest value asset. Intentional creation, collection, visualization, and analysis are key to gaining insights not readily available. Uniting legacy and new data and properly governing it are the lynchpins for organizational improvement and realizing key business outcomes.
Data Governance & Information Management
Data governance development, quality management and legacy data migration
Governance alignment to RMF and Federal transparency requirements (M-24-10 as applicable)
BI & GenAI Convergence – Analytics & Reporting
Augment Power BI, Tableau, and similar platforms with RAG
Augmented dashboards with contextual, sourced insights
Data Engineering & Platforms
Vector-enabled analytics layers (pgvector in Postgres; Milvus; Weaviate)
Lakehouse and Delta lake design, ELT/streaming pipelines, data mesh patterns, and platform integration across Redshift; Snowflake, Synapse, BigQuery
Advanced Analytics, Modeling & Simulation
Predictive modeling, simulation, and custom algorithm development; model training, validation, and deployment for production analytics
Analytics Evaluation & Observability
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