

David Marco, PhD has spent 28 years architecting integrated data management programs for the DoD, FBI, FAA, and Fortune 500. EWSolutions does not adapt a generic IT consulting methodology to data management - data management is our foundational discipline, refined across 155+ programs without a single failure.
EWSolutions built the first end-to-end methodology that integrates governance, architecture, master data, metadata, quality, and warehousing into a single delivery model. Where most firms hand off between specialist teams, our practitioners deliver across every discipline - eliminating the gaps that derail traditional data programs.
Regulatory environments demand provable accountability - clear ownership, documented controls, and traceable decisions across every critical data domain. EWSolutions builds the data management programs that make audit responses a same-week task, not a six-week scramble - eliminating the reconstruction work that consumes weeks of internal time.
Reliable AI depends on governed, documented, high-quality enterprise data. EWSolutions builds the architecture, controls, and quality standards that turn AI from pilot to production - and that make AI governance enforceable instead of aspirational.
Every EWSolutions data management engagement is personally directed by David Marco, PhD—the practitioner who authored the industry’s foundational texts on enterprise data architecture and built the methodologies that integrate data governance, metadata, master data, warehousing, and analytics into a single delivery model.
When organizations face data management challenges that no single tool, vendor, or team can solve in isolation, they engage the practitioner who has spent 28 years connecting them. David Marco, PhD brings hands-on program delivery to every engagement — with 155+ programs completed and zero failures since 1997.

President & Executive Advisor, EWSolutions
Ian Rowlands
Vice President of Product Management, ASG
“Mayo Clinic’s Enterprise Data Trust is already realizing palpable success from our cancer center projects, enabling analysis of clinical trial capture and accrual patterns, patient volumes, and clinical trial patient filtering. An infection analytics project standardized data definition and capture of infection-related case data across the enterprise – enabling a single standardized, enterprise-based reporting and analysis environment.”
Mayo Clinic
Enterprise Data Trust - Published in JAMIA, Scholarly Journal of Informatics in Health & Biomedicine
Ronald R. Schrimp, Sr.
SVP & Chief Data and Security Officer, UHG / Ingenix
Stephen C. Grohovsky
Manager, Consumer/Product Services, Thomson Consumer Electronics
Monica B. Cunningham
Director of Information Resource Management, Harvard Pilgrim HealthCare
The questions Chief Data Officers and enterprise architects ask most when evaluating an enterprise data management consulting partner.
Enterprise data management is the discipline of treating data as a managed organizational asset — governed, accessible, traceable, and trustworthy across every system that produces or consumes it. It integrates data governance, architecture, modeling, master data, metadata, quality, and warehousing into one coordinated operating model rather than a collection of disconnected tools and teams.
Most fail because they’re approached tactically – buying tools, launching point projects, or staffing one discipline at a time. Without an integrating methodology and senior accountability from day one, governance, architecture, and quality drift apart. The result is duplicate effort, inconsistent ownership, and rising costs without measurable improvement in data trust. EWSolutions’ programs are built to integrate from the start.
A working operating model. That includes a published governance structure, a documented data architecture, defined ownership across critical data domains, measurable quality standards, a business glossary, and a roadmap for sustaining improvements. Outcomes are tied to executive priorities like regulatory compliance, AI readiness, M&A integration, and decision-making speed – not abstract maturity scores.
Initial assessments take four to six weeks. Program designs run eight to twelve weeks. Full implementation timelines depend on scope but are scoped against measurable milestones, not open-ended retainers. Every engagement begins with a defined endpoint and a way to measure whether the program met it.
Every AI initiative is a data management initiative in disguise. Models trained on poorly governed, undocumented, or low-quality data produce unreliable outputs at scale – and expose organizations to regulatory and reputational risk. EWSolutions builds the data foundation first, so AI investments produce business outcomes instead of pilots that never reach producti
We are specialists, not generalists. EWSolutions has spent 28 years exclusively building data management programs – with senior practitioners on every engagement and a 100% project success rate since 1997. Generalist firms staff junior analysts on borrowed playbooks; we deliver senior accountability and proprietary methodology from day one.
EWSolutions turns fragmented data programs into one integrated enterprise asset – scoped to your priorities and delivered with senior accountability from day one.
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