Unlock the full potential of your metadata with AI-powered solutions
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100% Client Success
Since 1997, EWSolutions has delivered 155+ successful data management programs for Global 2000 companies and federal agencies, achieving proven, measurable results.
Trusted by Federal
Agencies & Defense
Trusted by U.S. federal agencies, we build mission-critical data governance programs where security, compliance, and reliability are non-negotiable.
Data Governance That
Enables AI Success
We transform inaccurate, unstructured data into a clean, unified foundation, ensuring your AI and analytics initiatives deliver real ROI.
Built for
Commercial ROI
We deliver measurable outcomes—reduced costs, stronger strategy—for clients from the Fortune 500 to the mid-market.
Personally Led
by Dr. David P. Marco
Guided by Dr. David Marco, the world's foremost authority on Data Governance, who has personally delivered 50+ successful enterprise projects.
We Know What Big
Consulting Firms Don't
While Big 4 consultancies name-drop data governance, while we wrote the books on it.
Metadata—the “data about your data”—is the foundation for data governance and business trust. Our experts implement metadata management strategies, creating a robust business glossary, data dictionary, and clear data lineage. This maps your entire data ecosystem, showing where data originates, how it transforms, and how it’s used.
By providing this critical context, we empower your organization to find the right data faster and use it with confidence. An active metadata strategy is essential for ensuring data quality, accelerating analytics projects, and maintaining a complete, auditable record for regulatory compliance.
Best known as the world’s foremost authority on data governance and data literacy, he is an internationally recognized expert in the fields of data management, advanced analytics, data warehouse, business intelligence, metadata management and data stewardship.
EWSolutions is the industry leader in enterprise metadata management solutions. We help businesses overcome metadata challenges with practical, real-world approaches.
Our services enable you to organize, govern, and leverage your metadata effectively. By developing a robust metadata strategy and enterprise-wide program, you can:
EWSolutions helps you develop a metadata strategy aligned with your business goals. Our experts identify key metadata elements, define governance policies, and establish best practices for managing and leveraging metadata across your organization.
We guide you through building an enterprise metadata management program that maximizes ROI. From current-state assessment to designing and implementing a scalable solution, our proven methodology ensures success.
We leverage cutting-edge AI technologies to automate metadata capture, improve data quality, and enable advanced analytics. Our AI-driven approach enhances the efficiency of your metadata efforts, allowing you to focus on deriving valuable insights.
EWSolutions has set the standard for metadata management since 1997. Our founder, David Marco, authored the industry-defining books “Universal Meta Data Models” and “Building and Managing the Meta Data Repository.”
We solve flawed decision-making by replacing poor metadata practices with a managed metadata environment (MME).
Our solutions transform your raw metadata into a strategic asset by:
Developing a metadata strategy that aligns with your business goals.
Integrating AI-driven automation to enhance data quality.
Supporting strong data governance and driving advanced analytics.
Delivering practical, real-world solutions to maximize your data’s value.
EWSolutions’ award-winning data management programs focus on providing measurable ROI to your organization.
EWSolutions has a methodology and approach for building a sustainable enterprise data management program.
We’re vendor-neutral, so our only focus is ensuring your success.
We understand how to build world-class data management programs in the federal space.
We streamline the automatic generation of active metadata by extracting technical metadata from your database schemas, data dictionaries, and self-service data catalogs. This builds a reliable data inventory that empowers your team to:
- Maintain high-quality metadata assets.
- Boost data discovery for all users.
- Ensure full regulatory compliance.
Unlock actionable intelligence from your metadata. Using machine learning and rigorous data analysis, we identify trends in descriptive and administrative metadata to drive impact analysis.
Our approach transforms raw metadata into strategic insights, informing:
- Predictive models.
- Prescriptive analytics.
- Optimized performance and valuable business context.
Establish a governance framework that enforces metadata standards and effective data management practices. We help you define policies for managing sensitive data and critical data elements, ensuring consistency and trusted data across your systems.
Empower your team with targeted training and support. Our programs build essential data literacy skills for data engineers, data scientists, and business users. We offer hands-on guidance in navigating modern data stacks, self-service data catalogs, and data dictionaries.
Enhance reliability with proactive data quality. We use data profiling to monitor and resolve inconsistencies in your metadata across data warehouses and data lakes. This ensures your teams use relevant data for precise analysis and compliance, helping everyone understand data assets better.
Simplify your workflows and track data lineage from end to end. We use modern data integration tools to consolidate diverse data sources, transforming raw data into trusted assets. By automating the mapping of your business glossary to technical metadata, we enhance data discovery and impact analysis.
Effective metadata management is critical for AI. We capture critical data elements, provenance, and usage metadata to support accurate machine-learning models. Through semantic usage analysis, we unlock new data insights from trusted, real-time assets to foster responsible AI initiatives.
Enterprise Metadata Management (EMM) is a formal business discipline for organizing, optimizing, and using metadata to improve the accessibility, quality, and value of all your organization’s data assets. A strong metadata management strategy provides essential business and technical context for your data.
Ultimately, EMM allows you to surface, search, classify, and validate metadata across your entire data stack, which is the foundation for effective data governance, data-driven innovation, and preparing data for AI and machine learning.
Understanding the different types of metadata is essential. The key components of a modern metadata repository include:
Active Metadata Management is a modern approach that enables systems to enable real-time metadata updates and automated responses.
Instead of just storing metadata in a passive metadata repository where it can become outdated, an active system uses automation and AI to continuously harvest, update, and analyze metadata. This streamlines the capture, annotation, and updating of metadata and allows you to automate governance processes, improve data quality scoring, and even predict the impact of changes to your data ecosystems.
Organizations rely on a range of metadata management tools to build their metadata management capabilities. These often include:
Data Catalogs: These are standalone metadata cataloging platforms (or cloud-native metadata catalogs) that centralize and organize metadata to create a searchable, user-friendly inventory for all data consumers.
Data Integration & ETL Tools: These tools help companies automate metadata extraction while managing data transformations and building data lineage.
Data Modeling Tools: Tools like erwin Data Intelligence help you design and manage your structural metadata and data models.
Data Governance Platforms: These tools help enforce data management policies and ensure compliance with regulations by managing data access controls and roles.
Metadata management is the foundation of effective data governance. You cannot govern what you cannot see or understand.
Metadata supports data governance by enforcing policies, roles, and access controls. It helps organizations adhere to regulatory requirements (like GDPR, HIPAA, or CCPA) by providing a detailed record of data lineage, ownership, and data usage. This plays a key role in enhancing data security and compliance by defining what data users can view or edit.
Data lineage is the practice of mapping the complete journey of data from its original data sources, through any data transformations, and into its final report or dashboard. Data lineage tools visualize the flow of metadata across systems.
This is critical because it builds trust and provides transparency. Data teams and data stewards use it to:
Effective metadata management is critical because it solves the problem of inconsistent metadata, poor quality, and outdated documentation, which makes data unusable.
By managing metadata effectively, you:
EWSolutions has over 25 years of experience consulting with enterprise and government agencies at scale.