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Affiliated with:

Established 1997 - 100% Project Success Rate

Enterprise Metadata Management Consulting

Without metadata, enterprise data has no context, no lineage, and no accountability. EWSolutions builds the metadata management programs that give your organization complete visibility into its data – what it means, where it comes from, and who is responsible for it – reducing program costs by over 91%.

By the Numbers
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Years of Expertise
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Trusted by Global Leaders & Federal Agencies
The EWS Difference

Metadata Is the Intelligence Layer of Your Enterprise Data

The Field’s Original Authority

David Marco, PhD authored the definitive books on enterprise metadata management - the texts that established the standards the industry still follows. EWSolutions does not adapt a generic data consulting methodology to metadata; metadata management is our foundational discipline.

Industry-First Big Data Integration

EWSolutions created the industry’s first metadata model integrating Big Data with traditional enterprise metadata needs - a breakthrough that solved the metadata management problem organizations still struggle with today. Our models serve both legacy environments and modern AI-ready architectures.

Lineage That Satisfies Regulators

Regulatory environments demand full data lineage - where data originated, how it was transformed, and who accessed it. EWSolutions builds the metadata infrastructure that makes lineage documentation accurate, current, and audit-ready, eliminating the manual reconstruction that costs organizations weeks before every examination.

The Foundation AI Models Require

AI explainability, model traceability, and responsible AI all depend on knowing exactly what data was used to train and operate each model. EWSolutions builds the metadata management infrastructure that makes AI governance possible - providing the context and lineage that transforms raw data assets into trusted AI inputs.

Leadership

The Pioneer Who Defined the Discipline

Every EWSolutions metadata management engagement is personally directed by David Marco, PhD – the individual who authored the industry’s definitive books on enterprise metadata management and built the methodologies that became the global standard for the field.

When organizations face metadata challenges that no off-the-shelf tool or generic consulting approach has solved, they engage the practitioner who defined what metadata management means at enterprise scale. David Marco, PhD brings 28 years of hands-on program delivery to every engagement – with 155+ programs completed and zero failures since 1997.

David Marco PHD EWSolutions
David Marco, PhD

President & Executive Advisor, EWSolutions

Client Results

Metadata That Works in Practice.

EWSolutions has implemented metadata management programs at the world’s most data-intensive organizations – where data lineage, context, and accountability are not optional features but operational requirements.
What We Build

Enterprise Metadata Management Consulting Services

Data Management

AI Governance Services

What Data Leaders Ask Us Most

Metadata Management FAQs

The questions CDOs and Enterprise Architects ask most when evaluating an enterprise metadata management consulting partner.
Enterprise metadata management is the discipline of capturing, organizing, governing, and maintaining the contextual information about your organization’s data assets – what data means (business metadata), how it is structured (technical metadata), where it came from and how it moved (operational metadata and lineage), and how it is used (process metadata). Without metadata management, data assets have no reliable context, data lineage cannot be traced, and regulatory compliance cannot be demonstrated. EWSolutions builds the metadata infrastructure that makes data trustworthy and explainable at enterprise scale.
AI explainability, model governance, and regulatory compliance all require knowing exactly what data was used – its origin, its transformations, its quality history, and who had access to it. Without a metadata management infrastructure, organizations cannot answer basic AI governance questions that regulators and boards are increasingly requiring answers to. EWSolutions builds the metadata layer that makes AI governance operational rather than aspirational.
Data lineage is the documented history of a data element – where it originated, every transformation it underwent, every system it passed through, and every report or model it ultimately fed. In regulated industries, lineage is a compliance requirement. In AI environments, it is an explainability requirement. In analytics environments, it is a trust requirement. Organizations without lineage documentation spend weeks reconstructing it before every audit – EWSolutions builds systems that maintain it continuously and automatically.
A business glossary is the authoritative, governed definition of every critical data term your organization uses – resolving the definitional conflicts between business units that cause executives to receive different answers to the same question from different reports. If your organization experiences “which number is correct?” debates in executive meetings, or if different departments define “customer,” “revenue,” or “active account” differently, you need a business glossary. EWSolutions builds and governs it as a living organizational asset, not a one-time documentation exercise.
Metadata management and data governance are inseparable disciplines. Governance defines the rules and ownership – metadata management provides the context and lineage that makes governance enforceable and auditable. A governance program without metadata management cannot demonstrate compliance. A metadata management program without governance has no accountability structure to maintain it. EWSolutions designs both as a unified program, which is a key reason our clients achieve the cost reductions and audit outcomes that generic consulting cannot replicate.
EWSolutions created the industry’s first metadata model that integrates Big Data environments with traditional enterprise metadata needs – solving the fragmentation problem that emerged when organizations began operating data lakes, streaming platforms, and cloud environments alongside legacy data warehouses. Our model provides a unified metadata architecture across all data environments, eliminating the metadata silos that make lineage tracing, impact analysis, and AI governance impossible at enterprise scale.
Let’s Build Your Metadata Foundation

28 Years. 155+ Programs. Zero Failed Engagements.

Without metadata, data has no meaning, lineage, or accountability. EWSolutions builds the metadata infrastructure that makes your data trustworthy, traceable, and AI-ready. Schedule a strategic consultation with David Marco, PhD, President & Executive Advisor.

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