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Enterprise Data
Warehouse Consulting

Harness the power of predictive models and AI to uncover valuable insights

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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.

Turn Data Into Actionable Insights

Our experts design and build modern data warehouses to serve as your single source of truth for analytics. We consolidate your disparate, siloed data into a high-performance, scalable platform, making it clean, secure, and ready for complex queries and reporting.

This powerful foundation fuels your Business Intelligence (BI) strategy. We help you deploy advanced analytics and visualization tools to create dynamic reports and executive dashboards, empowering your entire organization to make faster, more accurate data-driven decisions.

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.

Unlock the Power of Your Data

EWSolutions delivers best-in-class data warehouse services to help you manage, integrate, and analyze your most valuable data assets. Our experts design scalable, cloud-optimized data warehouse solutions that empower data-driven decision-making and fuel business growth.

Optimize Data Management

Our team builds robust data warehouse architectures using data lakes, cloud storage, and modern databases. We streamline your ETL/ELT processes to ensure your data is clean, consistent, and accessible—scaling effortlessly as your needs change.

Gain Actionable Insights with Business Intelligence

Transform raw data into a competitive advantage. Our Business Intelligence (BI) solutions create intuitive dashboards and interactive reports that simplify complex data, enabling stakeholders to uncover insights and drive strategic improvements.

Leverage Advanced Analytics and AI

Harness predictive models, AI, and machine learning to unlock hidden value. EWSolutions helps you:

Assess your AI potential and define use cases.
Deploy advanced analytics to optimize performance and reduce costs.
Ensure your AI initiatives are responsible, scalable, and deliver measurable results.

Maximizing Business Value

Since 1997, EWSolutions has delivered best-in-class data management and big data services. Our clients benefit from our deep experience and proven best practices in modern data warehousing.

Our solutions are built on years of experience designing and implementing enterprise data warehouse environments. We harness large datasets to drive decision-making and optimize business outcomes, delivering scalability, availability, performance, and security to your most important corporate resource: knowledge.

EWSolutions: Since 1997 The Industry’s Most Successful Data Warehouse Services

Over 155 Successful Data Management Client Partners

EWSolutions’ award-winning data management programs focus on providing measurable ROI to your organization

Industry’s Only Data Management Implementation Methodology

EWSolutions has a methodology and approach for building a sustainable enterprise data management program.

Full-Service, Vendor-Neutral Partner

We’re vendor-neutral, so our only focus is ensuring your success.

Serving Both Federal & Business Client Partners

We understand how to build world-class data management programs in the federal space.

Enterprise Data Warehouse Services

Data Architecture & Infrastructure

Our services design and implement secure, scalable cloud-based data warehouses and traditional storage systems. Our data engineers integrate structured, semi-structured, and unstructured data, ensuring quality and consistency. We use massively parallel processing (MPP) and optimized SQL to boost data ingestion for real-time analytics.

Business Intelligence and Reporting

We deliver powerful BI solutions that transform raw data into clear, actionable insights. Our custom dashboards and interactive reports enable data analysts to query current and historical data in real-time. By integrating advanced analytics and data visualization, we empower leaders to identify trends and drive growth.

Cloud & Big Data Solutions

Our cloud and big data solutions harness modern, cloud-native architecture to manage large volumes of data. We implement cloud data warehouses and data lakes that support real-time data ingestion, processing, and analysis, all while enhancing data security and driving significant cost savings.

Data Integration & ETL Services

Our expert data integration and ETL services consolidate data from multiple sources into a unified platform. We optimize ETL/ELT workflows for all data types (structured, semi-structured, unstructured) to:
- Ensure consistent data quality.
- Streamline data prozessing.
- Improve query performance and reduce operational costs.

Advanced Analytics, AI & Machine Learning

Our advanced analytics, AI, and ML services empower you to extract actionable insights from vast data volumes. We build and deploy AI models that analyze historical and real-time data, driving predictive and prescriptive analytics to optimize performance and support strategic growth.

Training and Support

We offer tailored training to build essential data skills and foster a data-driven culture. Our programs equip your data analysts and scientists with practical knowledge in:
- Data Analytics & Visualization
- Data Governance
- Cloud Data Warehouses
- ETL Processes

Frequently Asked Questions about Enterprise Data Warehouse Consulting

What are data warehouse services?

Data warehouse services are a set of strategic and technical capabilities for designing, implementing, and managing a central data environment. The goal is to consolidate disparate data from various data sources (like transactional databases, operational data systems, or cloud apps) into a single, trusted repository.

These services transform your raw business data into an optimized format for data analysis, data mining, and big data analytics. This ensures high data availability and consistent data retrieval, empowering business users and data scientists to run complex queries and gain insights.

What does a data warehouse consulting team do for a project?

A data warehouse consulting team guides you through the entire data warehouse project lifecycle, from strategy to support. Their role is to ensure your solution meets your key performance indicators (KPIs) and provides a high return on investment.

A typical engagement includes:

Data Strategy & Modeling: Assessing your existing data sources and business goals to develop a complete data strategy and data modeling plan (often using dimensional modeling techniques like a Star Schema).
Infrastructure Design: Architecting the data warehouse infrastructure, whether it’s on-premises or a modern cloud infrastructure.
Data Integration: Building the critical ETL (Extract, Transform, Load) processes using data integration tools to move transactional data and semi-structured data from existing systems into the new warehouse.
Performance Optimization: Continuously monitoring and tuning the system to handle growing data volumes and ensure fast query performance.
Security & Compliance: Implementing robust data encryption and access controls to ensure data security for sensitive financial data.
Ongoing Support: Providing data warehouse support and maintenance to keep the data environment performing optimally.

What's the difference between a traditional data warehouse and a modern cloud data warehouse?

The difference is significant in terms of cost, performance, and flexibility.

Traditional Data Warehouses are typically on-premises, requiring you to buy and maintain your own expensive hardware and software. They are difficult to scale, and their performance often degrades with growing data volumes.
Modern Cloud Data Warehouses (often part of a DWaaS model) are hosted on cloud infrastructure (like Google BigQuery, Snowflake, etc.). This approach eliminates upfront hardware investment, significantly reduces costs, and accelerates query processing. Most importantly, they can instantly scale up or down based on real-time demand, making them far more cost-effective and powerful for big data analytics.

What is Data Warehouse as a Service (DWaaS)?

Data Warehouse as a Service (DWaaS) is a managed cloud service where the cloud provider is responsible for setting up and maintaining all the hardware and software resources.

This is a game-changer for most businesses. Instead of your team managing complex infrastructure, you can focus on extracting valuable insights. The provider handles all security updates, performance optimization, and infrastructure management. This simplifies implementation and allows your data environment to evolve with your business requirements without needing a specialized internal team.

How is a data warehouse different from a data lake or a data lakehouse?

This is a key concept in modern data strategy.

Traditional Data Warehouse: A highly structured repository. Data is cleansed, transformed, and integrated into a rigid schema before it is loaded. This makes it very fast and reliable for data analysis and business intelligence, as it stores data in a well-organized manner.
Data Lake: A massive, unstructured, or semi-structured data repository. It stores vast amounts of raw data in its original format without a predefined schema. This is ideal for data science and data discovery, as data scientists can analyze the data in its raw state, but it can be slow and messy for standard business reporting.
Data Lakehouse: This is a new, hybrid approach that combines the benefits of both. It allows for the storage of raw data (like a data lake) but also provides a high-performance data management strategy and analytics capabilities (like a data warehouse). A modern data warehouse often leverages this lakehouse architecture for maximum flexibility.