We help organizations deliver AI outcomes by starting with the data that makes it work. Vollen Data Services is a boutique consulting firm focused on enabling digital and AI transformation by delivering enterprise data clarity, governance, and execution.
Schedule a ConsultationAlign data and AI with business outcomes
Govern and architect with precision
Apply models where they'll matter
Vollen Data Services was founded by Randy Vollen, a senior executive with 20+ years in data strategy, analytics, and digital transformation. He's led data efforts at Fragomen, Evoqua, and PNC, and currently heads Business Intelligence at Miami University. VDS serves clients across law, manufacturing, financial services, and higher education.
To turn enterprise data into action—through clarity, trust, and well-architected intelligence.
Grounded in strategy, not hype. Executed through strong governance and architecture. Delivered via practical BI and applied ML.
From boardroom strategy to data lineage
Governance that scales and sticks
Dashboards and models that drive action
Strategic consulting services designed to transform your data and AI capabilities
Build pipelines, deploy use cases, and create trusted models aligned to real KPIs
Evaluate current maturity and create a forward-looking strategy across people, process, and tech
Design policies, ownership, domains, and metadata systems that stick
Power BI and Tableau implementations tied to decision-making and business value
Guide architecture decisions (e.g., Snowflake, Databricks, Lakehouse) with cost, access, and scale in mind
Design and deliver targeted AI applications—LLM prototypes, scoring models, automation tools
Real-world implementations delivering measurable business impact
Delivered a platform for 80+ clients and 200 partners to analyze legal, operational, and financial performance. Unified data flows and built predictive insights.
Built real-time data architecture for industrial sensors. Enabled anomaly detection, mobile dashboards, and performance tracking.
Established domain model, data ownership, and metadata catalog. Created Tableau standards and launched early AI exploration.
Redesigned governance to align with AI/ML controls. Integrated model risk, lineage, and auditability with the data platform.