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Enterprise Data Management Consulting Services

Unlock the full potential of your enterprise data assets

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See Our Customer Success Stories

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.

Proven Expertise in Enterprise Data Management

Our enterprise data management consultants move beyond data silos. We design and implement robust data architectures and data governance frameworks to unify your enterprise data. This strategic approach ensures your organization operates from a single, reliable, and secure source of truth.

We integrate master data management, data quality controls, and metadata management to ensure your data is always accurate, compliant, and accessible. This empowers your teams to make trusted, data-driven decisions that reduce costs, mitigate risk, and boost operational efficiency.

Testimonials

“David Marco and his company EWSolutions have consistently delivered successful Data Warehouse and Metadata Management implementations for several decades. Their unique blend of thought leadership and practical implementation is now leading the way in the rapidly evolving Data Governance arena. ASG has been very pleased with the results of combining EWSolutions’ methodologies and expertise with our world-leading metadata solutions”

"As the Chief Data and Security Officer at (UHG)’s Ingenix division, I engaged EWSolutions to assist and guide us through a transition period of collaboration of our massive data sets and provide insight into a foundational approach to deploying a Data Governance framework. Given the limited time and regulatory requirements required, I was fortunate to have direct access to EWSolutions’ president, David Marco. David showed his commitment and sent his top 3 professionals to assist us. In short order the EWSolutions team blended nicely with my staff and business partners. David and his team, in a professional and effective manner, embraced our challenges and quickly gained the confidence of the UHG business partners as knowledgeable and thought provoking professionals. He ensured all activities and recommendations for our foundational Master Data Management, Data Warehouse and Data Governance strategy were agile yet focused on our immediate and long term needs to ensure sustainability so the ARRA and strict regulatory standards could be met."

“David Marco is a real visionary in data management. At the same time, he and the consultants at EWSolutions understand the everyday challenge of managing the enterprise’s data responsibly. Most practitioners can do one but not the other. EWSolutions has the skill and savvy to do both, and they do it as well or better than anyone I’ve met.

EWSolutions kept our needs at the forefront of all of their efforts. They always worked in the spirit of partnership and were consistently flexible to the changing needs of our project.”

“Mayo Clinic’s Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information retrieval, business intelligence, and high-level decision making. […] Mayo is already realizing palpable success from our cancer center projects, which is enabling analysis of clinical trial capture and accrual patterns, patient volumes, and clinical trial patient filtering, and will eventually optimize patient options for clinical trials. An infection analytics project has standardized the data definition and capture of infection and infection-related case data across the enterprise. The project has enabled a single standardized, enterprise-based reporting and analysis environment for infection data, and is currently seeking to further automate the identification of healthcare acquired infections. Other deliverables to data include referral analysis, balanced scorecard reporting, quality dashboards, and ad hoc reports across a wide spectrum of clinical practice, research, and administrative requests.” Quoted from “Jamia”, a scholarly journal of informatics in health and biomedicine.

View Case Study

Right from the start David Marco understood the business need and strategic technical challenges of our corporate initiative. At all times he kept our requirements in the forefront of his efforts. David worked tirelessly to fulfill his responsibility and exhibited a strong sense of accountability for the quality of his work.

The knowledge, breadth of skills, and versatility of EWSolutions and David Marco provided the program management, technical support and mentoring which the data warehouse team needed to successfully implement the merged organization’s first reporting data mart. Solving business needs is very important to us and EWSolutions’ methodology and expertise helped us to meet our stretch project goals ahead of schedule!”

Leadership

Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP

President, EWSolutions

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.

How EWSolutions Enhances Your Enterprise Data Management

Incomplete, incorrect, or duplicated data undermines your decision-making and inflates operational costs. Strategic data quality and lifecycle management transforms chaotic data into streamlined workflows, operational efficiency, and confident business decisions.

Tailored Data Strategy

We provide expert data strategy consulting, developing a roadmap to align data management with your business goals and maximize data value.

Unlock Data Potential

Unlock your business's full potential with scalable, flexible solutions adapted to your unique needs and designed to deliver measurable ROI.

Harness AI and Analytics

Transform your organization with advanced AI and analytics. We build these capabilities on a solid data management foundation, ensuring quality, governance, and security to drive operational efficiency.

Data Management Services

Our Enterprise Data Management Services transform data into a strategic asset. We empower your team with a single, reliable view of critical data for smarter decision-making, delivering:

Streamlined processes and increased efficiency.
Improved data accuracy and security.
Significant cost savings and a lasting competitive edge.

Data Governance

We establish robust data policies to ensure compliance and enhance organizational trust. Our framework includes detailed data lineage and dependency documentation, ensuring accurate data handling and effective change management.

Master Data Management

We combine data from multiple sources to develop a unified, single view that drives client engagements. This approach optimizes resource allocation and streamlines project management, enabling companies to make more informed, data-driven decisions.

Database Design & Optimization

We design, implement, and optimize efficient, scalable, and secure databases. Leveraging modern cloud technologies, we create optimized architectures with clear documentation and proactive maintenance to boost productivity.

Data Integration & Migration

Streamline transitions with proven ETL/ELT processes that maintain data integrity and minimize downtime. We integrate disparate data sources and track critical dependencies to ensure seamless migrations, enhancing productivity and delivering cost savings.

Data Quality Assessment

We identify and resolve data gaps through systematic analysis and targeted improvements. Our rigorous procedures enhance data accuracy and provide a complete understanding of data trends, increasing productivity and customer satisfaction.

Data Security & Compliance

Meet key regulatory requirements (GDPR, HIPAA, PCI DSS) with advanced security measures, including encryption and real-time monitoring. We protect sensitive data via detailed lineage tracking and robust procedures, ensuring compliance, customer trust, and effective change management.

Data Management Consulting FAQs

What is data management consulting?

Data management consulting is a specialized service that transforms your raw data from a simple cost center into a valuable, strategic asset. It involves developing a comprehensive data management strategy and optimizing data management processes to ensure your data is accurate, secure, and accessible. The ultimate goal of data management consulting services is to help you operate more efficiently, enhance customer relationships, and gain a sustainable competitive advantage.

What does a data management consultancy do?

A data management consultancy provides the technical expertise and structured methodologies to help you take control of your company’s data. This includes a wide range of data services, such as:

Developing a complete data management strategy and implementation roadmap.
Designing and building a robust, modern data architecture to break down data silos.
Establishing comprehensive data governance services and policies to ensure data consistency and accountability.
Implementing data quality standards and data profiling to cleanse and validate data.
Guiding cloud data management initiatives, including migration to cloud platforms and cloud storage solutions.
Overseeing the technical implementation of data management solutions, including data lakes, metadata repositories, and relational databases.
Advising on how to derive analytics insights and build effective business intelligence tools.

What is data governance, and why is it so important?

Data governance is the formal framework of policies, procedures, and accountabilities that an organization implements to manage data security, integrity, and responsible use.

It is critically important because it is the foundation of all trusted data. Effective governance:

Establishes Accountability: It defines who can take what action, upon what data, and in what situations.
Prevents Data Breaches: It protects your sensitive customer data from unauthorized access or corruption.
Ensures Compliance: It helps you meet complex regulatory laws (like GDPR and CCPA), reducing the risk of significant fines.
Improves Data Quality: It enforces data quality standards for accuracy, completeness, and data consistency across your organization.
Builds Trust: It transforms your data from a decentralized, risky resource into a strategic corporate asset with clear oversight.

What is data architecture, and what is its role in data management?

Data architecture is the master blueprint for managing data across your entire enterprise. It defines how data is collected, stored (data storage), transformed (data processing), distributed, and consumed.

Its primary role is to provide the foundational structure that all other data management capabilities are built upon. A well-designed architecture:

Breaks down data silos by defining how data flows between systems.
Enables effective data integration from diverse sources.
Supports your data models and ensures data is optimized for business operations and analytics.
Provides the scalability to handle increasing data volume from big data and cloud environments.

What are the biggest data management challenges companies face?

Most companies face similar data management challenges. The most common are:

Data Silos: Data is often trapped in disconnected systems (like Enterprise Resource Planning applications, data warehouses, etc.), making it impossible to get a single, unified view of the business.
Poor Data Quality: Decisions are made on inaccurate, incomplete, or inconsistent data, which leads to flawed analytics insights and poor business outcomes.
Security & Compliance: The risk of costly data breaches and failure to comply with data privacy laws is a constant concern.
Scalability: Existing systems can’t handle the massive data volume and processing needs of modern big data and machine learning applications.
Organizational Change Management: A lack of employee training and clear, established processes can cause new data investments to fail.

What is the difference between a data analyst and a data management consultant?

The roles are different but highly related.

A Data Analyst (or Data Scientist) uses the data. Their job is to analyze raw data to find patterns, build machine learning models, and generate analytics insights that help the business make smarter decisions.
A Data Management Consultant prepares the data. Their job is to design and build the entire framework so that the data is accurate, secure, consistent, and available for the analysts. They focus on the underlying data architecture, data governance processes, and technical implementation to ensure the entire company can trust its data.

What should I look for when comparing data management companies?

When evaluating data management companies, it’s critical to look beyond their work with existing tools and find a partner with deep technical knowledge and a clear, strategic methodology.

The best data management companies always begin by identifying specific business goals, not just technical specs. From there, they design optimal solutions that turn your data into a valuable asset.

A top-tier partner will provide a holistic service that includes:

A Scalable, Modern Architecture: They must have expertise in building robust integration architectures that serve as the foundation for operational efficiency. This includes proficiency in data virtualization, ETL processes, data transformation, and cloud-based options that are scalable to handle massive data volumes. They should be fluent in distributed processing frameworks (like Apache Hadoop and Spark) as well as traditional database systems (like Microsoft SQL Server).
Comprehensive Data Governance: The company must establish strong data governance policies that create clear accountability. This is the core of any successful program and should include automated compliance reporting, data lineage tracking for audits, and robust Master Data Management (MDM) to create a single, authoritative version of critical data (like customer data).
Rigorous Quality Management: A focus on data quality management is non-negotiable. This involves data profiling (the diagnostic process of analyzing your data’s structure and quality) and enforcing data quality standards—measuring the accuracy, completeness, consistency, and timeliness of every single data element.
Robust Security & Recovery: The solution must include key features like secure data storage, backup, and a clear disaster recovery plan. This involves regular risk assessments and implementing strong data access controls to protect personal data and meet compliance laws like GDPR, especially when consolidating data from various customer interactions.

Ultimately, the right company will deliver a solution that ensures high data availability and quality, allowing your teams to work from the same data to derive powerful, trusted insight.