Data & Analytics Consulting

Unlock the Value of Your Data to Drive Growth

Do your stakeholders have easy access to the right data to make informed decisions?

Is your data enabling personalization?

Are teams leveraging your data to improve the Customer Experience?
Is your data ready to power your AI solutions?
Data is more than numbers. It drives decisions, shapes experiences, improves efficiency, powers AI and helps businesses grow.
Nancy Cloutier
SVP, Data & Analytics

You’re Likely Facing Data Challenges.

You’re not alone.

Every data team is under immense pressure to continually add more and more value to their organization. And every day, we’re helping teams like yours better collect, organize, analyze, share, and use data in faster, easier, more powerful ways.
Here are some of the challenges we’re frequently helping teams solve.

Lack of Data Alignment and Consistency

Unclear or Inconsistent Data Governance Across the Organization

Inability to Leverage AI to Solve Real Challenges and Identify Strategic Opportunities

Scalability Limitations and Legacy Systems

Limited Decision-Making 
Ability due to Data Accessibility and Usability

Limited Scalability of In-House Teams to Achieve Business Objectives

Our Data & Analytics
Consulting Solutions

We will tailor a custom solution that meets your specific data needs and drives your business forward – often combing multiple solutions to solve your specific challenges.

Data & AI Strategy Assessment

Our Data & Analytics team approaches all data strategy engagements by first clarifying the needs, goals, and priorities.
We then identify the right technology to satisfy those needs and determine any gaps within the organization – gaps in both technical architecture and business processes. Finally, we build a plan to fill those gaps, ultimately enabling your organization to achieve your business goals.

Learn more about the details, deliverables, and benefits of a Data & AI Strategy Assessment.

Data Governance Consulting

Our experts help your team establish clear frameworks, policies, and processes to ensure data is accurate, compliant, and aligned with regulatory and business needs.

Visualization, Dashboards, and Insights

Through data visualization – often in the form of dashboards – we help stakeholders confidently and conveniently leverage the potential of data in real time.
This self-service business intelligence significantly improves access to the most useful data and insights across teams throughout your organization.

Data Modernization

From data lakes, lakehouses, and warehouses, to data engineering and governance, our team investigates, recommends, and executes platforms and processes to ensure you are extracting maximum value from your data.
Our approach to modernization is focused on which technology uplifts will most impact your ability to capture, analyze, and use reliable data to inform decisions throughout your organization.

Data Migration

Our team will design and execute a data migration strategy that solves your specific challenges and meets your current and future needs.
This strategy will ensure data integrity, security, and accessibility, enabling you to clean, optimize, and future-proof your data for sustainable growth.

Specialized Talent for Outcomes

With a deep bench of data and analytics experts with a wide variety of specializations, we can embed the right team members into key roles within your existing IT and data teams.
In addition to being hands-on members of your team who can help you meet immediate needs, these consultants can also provide coaching and real-time examples of best practices to improve processes and overall team performance.

Turning Data & Analytics into Insights

While data, analytics, and insights drive our strategies and inform our solutions, data itself is not the solution. Our team brings together business acumen, technical expertise, and data know-how to develop smarter ways to solve the real challenges facing the organizations we serve.
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Wasserstrom
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Data in Action

While every organization is unique, and every solution we recommend and execute is customized to that organization’s specific needs and challenges, here are two examples of data and analytics work we’ve done for two clients in two very different industries.

A Strategy for Scale Driven by Data

Data Modernization for a Better Customer Experience

This has been my gold standard team for collaboration between contractors and other members. We were setting up something new, and it could be easy to focus on silos.

But from the beginning, the G2O data & analytics team valued each perspective and collaborated on solutions. They made open communication their practice, leaving an excellent team culture and a product that works!
Director, Data Enablement and Insights
Foodservice Procurement Solutions Organization

Data Platforms. We Work With All of Them.

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Our team has experience working with and integrating across nearly every current and legacy data platform and partner. Just as importantly, we can recommend which ones are right for your data and analytics challenges – and then execute the solution.
Our Answers to Some of the Biggest Data Questions:

What are the essential parts of a data strategy?

An organization's data strategy should be aligned with its business objectives, adopt a flexible data architecture, and leverage cloud infrastructure for scalability and real-time access. It is also essential that the strategy remains adaptable to integrate new technologies and data sources. This ensures that the data strategy remains resilient and capable of evolving to meet future needs. Most importantly, it requires a well-defined implementation approach and plan to achieve the desired outcomes.

What makes a Data Governance program successful?

Data governance ensures data is accurate, compliant, and meets business needs. It starts with a framework of policies, processes, and roles to manage data quality, privacy, and security. Promoting a data-driven culture and regularly updating the program maintains its effectiveness and alignment with organizational goals.

How should I approach data modernization?

Data modernization should begin with clear business goals and an assessment of current data infrastructure. Understanding how new technology supports these goals is key to selecting the right tools. The process should include adopting a modern tech stack and implementing data governance best practices. This ensures a robust, scalable, and efficient data environment for better decision-making.

What role does data play in AI?

Data is essential for training AI models, as it helps algorithms identify patterns, relationships, and trends, leading to better decision-making. The quality of data is critical, as poor data can result in incorrect outputs. A well-organized and easily searchable framework for information enables AI systems to efficiently process and interpret data, resulting in more accurate predictions and recommendations.

How does data visualization enhance the value of an organization's data?

Data visualization highlights patterns and trends in complex data, enhancing comprehension and making it easier for stakeholders to interpret and communicate insights with a key benefit of enabling quicker decision-making. Additionally, it helps uncover hidden insights, and opportunities, driving innovation and strategic growth.

What’s different – and better – about the G2O approach to Data & Analytics?

The G2O approach to Data & Analytics stands out due to its focus on aligning data strategies with business goals and driving real ROI. We emphasize creating a data strategy roadmap that prioritizes business needs and use cases to ensure data solves actual business problems. Additionally, G2O integrates best-in-class cloud technology, fosters a data-driven culture, and provides continuous support to enhance performance and drive growth.

Meet Our Data & Analytics Leaders.

Nancy Cloutier

Nancy Cloutier

Senior Vice President
Data and Analytics
Nancy has been leading strategic relationships within the healthcare, B2B manufacturing, and banking industries for over 20 years. She's an experienced champion of ensuring data is properly leveraged to improve decisions, enhance experiences, and drive growth.
Uttam Channegowda

Uttam Channegowda

Vice President
Data and Analytics
Uttam is a seasoned data engineering and analytics leader with 20+ years of experience transforming complex data challenges into strategic business solutions. He modernizes data platforms, builds high-performance teams, and delivers timely results on large-scale engagements, identifying and delivering value for clients.
Joe Hogan

Joe Hogan

Senior Director
Data and Analytics
With over 20 years experience in data and analytics, Joe’s primary areas of expertise focus on creating data strategies including data governance, building analytical teams, and implementing data-driven solutions.

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