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Enterprise Data Analytics Consulting Services

Accelerate Your ROI with Data-Driven Insights

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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.

From Data to Direct Business Value

Our data analytics consultants partner with you to answer your most complex business questions. We move beyond standard reports to apply advanced analytics, predictive modeling, and data science techniques, helping you uncover hidden patterns, new revenue opportunities, and critical operational insights.

This hands-on, strategic approach ensures you extract maximum value from your data investments. We help you build a clear roadmap—from data exploration to full-scale analytic solutions—empowering your leaders to make confident, data-driven decisions that give you a competitive edge.

Testimonials

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

Data is the backbone of your organization—but capturing it is only the beginning.

We help you transform raw data into intuitive dashboards and actionable insights. Our advanced analytics solutions use AI and machine learning to reveal hidden trends, drive personalization, and optimize business performance.

Gain Deeper Customer Insights

Discover valuable insights into your customers’ behaviors, preferences, and needs. By applying sophisticated data analytics and AI models, our solutions enable personalized engagement that builds loyalty and fuels long-term growth.

Discover New Opportunities in Your Data

Our experienced consultants uncover untapped potential within your data using cutting-edge techniques like deep learning and large language models (LLMs). We help you identify emerging opportunities and craft innovative strategies for a competitive advantage.

Enhance Your Brand with Data-Driven Decisions

Empower your organization with strategic, data-informed decision-making. Our scalable, secure analytics solutions deliver the actionable insights you need to strengthen your brand, optimize operations, and confidently chart your future.

Unleash the Potential of Data Analytics

Since 1997, EWSolutions has delivered best-in-class AI and advanced analytics solutions. Our enterprise data analytics strategy enhances your capabilities and empowers you to predict future scenarios—shaping key business decisions and driving significant ROI.

Built on decades of global experience, our solutions for AI, analytics, BI, and data warehousing transform your most critical asset—your data—into a competitive advantage.

EWSolutions: Empowering Businesses with Data Analytics Consulting Since 1997

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.

Data Analytics Services

Data Integration & ETL

Our solution integrates data from diverse sources using advanced ETL processes. We extract, transform, and load both structured and unstructured data, ensuring consistent quality and efficient processing. This accelerates data discovery and empowers business users to extract actionable insights.

Data Quality Management

We ensure your enterprise data remains accurate, consistent, and reliable. Utilizing advanced analytics and statistical techniques, our service identifies and resolves data quality problems, safeguards sensitive data, and supports superior data analysis for strategic decision-making.

Data Visualization & Reporting

Transform complex data into clear, actionable insights with our interactive dashboards and reporting solutions. We create compelling charts and visual representations using tools like Microsoft Power BI to help leaders:
- Identify patterns and monitor market trends.
- Assess website and business performance.
- Drive informed decision-making.

Data Governance & Metadata Management

We establish a solid framework for data governance and metadata management to ensure your data assets are well-documented and consistently maintained. Our services support regulatory compliance, data privacy, and risk management, empowering users to make data-driven decisions confidently.

Data Warehousing & Data Lakes

We design scalable, cloud-based data warehouses and data lakes that consolidate current and historical data. Our solutions optimize storage and retrieval, support efficient data mining, and ensure high performance and security for your modern data stack.

Advanced Analytics & Machine Learning

Harness predictive analytics and machine learning to forecast future scenarios and drive strategic growth. Our data scientists use predictive modeling and prescriptive analytics to extract actionable insights, optimize resource allocation, and boost financial performance.

Cloud Data Management

Optimize your data storage and access with our cloud data management solutions. We help you migrate to cloud data warehouses that deliver:
- Real-time data processing and analysis.
- Seamless integration across diverse data sources.
- Enhanced data security, privacy, and cost savings.

Training & Support

Our training services equip your team with essential data analytics skills. We offer hands-on workshops and continuous guidance in data analysis, visualization, and governance, empowering your data scientists and business leaders to foster a data-driven culture.

Frequently Asked Questions about Enterprise Data Analytics Consulting

Enterprise data analytics is the process of collecting, analyzing, and interpreting vast amounts of business data to uncover insights that drive informed decision-making. An effective enterprise analytics strategy helps organizations optimize processes, streamline operations, and increase profitability. This data-driven approach leads to faster and more informed business decisions and a significant competitive advantage.

An enterprise analytics platform leverages four key types of analytics to move from reviewing past performance to recommending future actions:

  • Descriptive Analytics: Analyzes historical data to understand what happened.
  • Diagnostic Analytics: Identifies patterns and relationships to understand why something happened.
  • Predictive Analytics: Uses artificial intelligence and statistical models to forecast future trends and business opportunities.
  • Prescriptive Analytics: Recommends specific actions to achieve desired outcomes and maximize operational efficiency.

A solid data management strategy is essential to maximize the value from enterprise data analytics solutions. You cannot have a successful analytics program with untrusted data. Without a clear strategy, data scientists and analytics platforms may struggle to connect to all necessary information.

A comprehensive data strategy is the foundation that:

  • Breaks down data silos and integrates disparate data systems.
  • Ensures high-quality, trusted data for analysis.
  • Promotes data literacy so the entire organization can effectively utilize analytics.

Many enterprise organizations fail to get value from their data due to common, complex challenges:

  • Data Silos: Organizations struggle with data integration due to disparate data sources and silos, which prevent a unified view of the business.
  • Data Quality and Volume: The volume of data generated makes it difficult for organizations to analyze data efficiently, and data quality remains a challenge
  • Legacy Systems: Legacy business systems often store data in proprietary formats, complicating data access.
  • Inefficient Processes: Without an effective analytics platform, organizations may spend more time managing data than analyzing it.
  • Data Literacy: Data literacy is necessary for non-analysts to effectively use analytics in their work.

Self-service analytics is an approach that democratizes insights by providing easy-to-understand visualizations accessible to non-technical users. It empowers business users to explore data, discover insights, and create interactive reports without needing advanced skills.

Modern enterprise analytics platforms enable this through:

  • User-Friendly Interfaces: Platforms like ThoughtSpot and Power BI prioritize self-service analytics with simple, drag-and-drop tools.
  • AI-Powered Queries: AI capabilities can include search-driven conversational AI, allowing users to ask questions via natural language queries (e.g., “Show me the customer journey for our top 10 clients”).
  • Interactive Dashboards: Users can create their own analytics dashboards to track performance against key performance indicators (KPIs).

Artificial intelligence (AI) is a key feature in modern enterprise data analytics solutions, moving them far beyond static reports. AI-powered analytics can:

  • Automate Insights: Automatically uncover insights, perform anomaly detection, and identify trends that a human analyst might miss.
  • Enhance Efficiencies: Enterprise analytics solutions often integrate AI to enhance efficiencies in data processing and data transformation.
  • Enable Advanced Analytics: Power predictive modeling and machine learning for complex tasks like demand forecasting in the supply chain.
  • Improve Accessibility: Enable search-driven conversational AI and natural language queries for a true self-service analytics experience.

A modern enterprise analytics platform is a comprehensive, often cloud-native solution that does far more than just create charts. Its primary goal is to collect, process, and analyze large volumes of data from across the business and centralize data from multiple departments, and turn it into actionable insights, enabling faster and more informed business decisions.

Key features that define a strong platform include:

  • Unified Data Integration: The ability to connect with and integrate diverse data sources is crucial to breaking down data silos. Solutions like Sisense and Domo are known for their ability to pull and combine data from numerous, diverse sources.
  • A Full Analytics Spectrum: The platform must support all four main types of enterprise analytics: descriptive, diagnostic, predictive, and prescriptive, including features such as predictive modeling, machine learning, and advanced visualizations.
  • Robust Security & Governance: Robust security protocols are critical for protecting sensitive data, so the platform must include features for managing data quality, security, and access control.
  • Self-Service & AI: Modern platforms democratize insights by allowing non-technical users to perform analysis. This is done through user-friendly interfaces and search-driven conversational AI (natural language queries).
  • Real-Time, Collaborative Dashboards: The platform must provide clear, interactive reports and visual dashboards for performance tracking and allow for collaboration by offering built-in features for teams to share insights.

While many platforms exist (ThoughtSpot, Tableau, Power BI, Looker, and Sisense), they have different strengths. For example, Tableau offers deep capabilities that appeal more to experienced data analysts, while ThoughtSpot and Power BI prioritize self-service analytics. Power BI’s main advantage is its deep integration within the Microsoft ecosystem, and Qlik Sense is unique for its associative engine, which helps users discover unforeseen relationships in data.

Ultimately, the right platform improves operational efficiency by identifying process inefficiencies, helps you better understand customer behavior, and leads to higher profitability.

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EWSolutions has over 25 years of experience consulting with enterprise and government agencies at scale.