74% of C-level executives want to achieve a deeper understanding of the technologies underlying big data tools.

Here's how we help.


Data science is at our core. Driving business is our passion. Through our trusted expertise and disciplined methodology, we drive value through 3 accelerators.



We work with all stakeholders to build a strategy aligned to IT, operations, and management's vision. Next steps are quickly identified, jump starting time-to-value.



To fully realize the benefits of investment in digital technologies, we unlock creativity through comprehensive organizational redesign best practices, speeding innovation and change management.



With the right tools, insights can come from anyone, anywhere, at any time. Using a cloud-first approach, we empower individuals to create value across the entire organization.


Mind Assessment - It's like an x-ray, for your business.

We begin with our Mind Assessment management solution framework.

Through a series of data analytics assessments, we analyze your processes, technology, data and people.

Our 4-6 week phased process accelerates and scales data-driven insight by identifying core organizational performance drivers.


Phase 1
Business Goals

  • How do analytics solve your business needs

  • What foundational pieces are in place; data governance, maturity, etc.

  • Who are the stakeholders to take things to the next level

Phase 2
Current State Analysis

  • Are you positioned to take advantage of analytics

  • What gaps in IT need addressed

  • Organizationally and culturally are you ready for disruption

Phase 3
Future State Vision

  • What data and organizational infrastructure creates next-gen value

  • Across the entire organization, how do we maximize your investment

Phase 4
Prioritized Roadmap

  • Prioritized implementation steps include detailed plans and timelines

  • Agile framework positions business to change as needed



First, we explore how data is collected and used across all channels. This gives us a clear picture into whether your enterprise has the processes, data assets and technology platform to execute your business strategy.


Next, we examine how your analytics governance frameworks aligns with well-defined operational and financial metrics. Using case studies and benchmark methodologies, we identify gaps in business and IT, leading to recommendations based on industry best practices.


Lastly, we present our solution design based on your company’s business architecture. While strategizing with clients and stakeholders, we present a clear ROI analysis and an actionable roadmap.

"One of the refreshing experiences in our engagement with Gray Matter Analytics was their collaborative approach that included knowledge transfer at the core of their engagement. The focus on knowledge transfer allowed us to take their work and execute on their solution, without any hiccups."


James Dallas - Former Senior Vice President, Medtronic


The stakes are too high not to invest in the right technologies to transform how we view, analyze, and act on data. But more investment in technology is rarely the solution. Since we strongly believe no two engagements are the same, our approach always begins with on-site interviews with business leaders. By helping everyone better understand business objectives and data requirements up-front, priorities are set early,  helping drive time-to-value as quickly as possible. We build an agreed corporate strategy, backed by an IT vision that can adapt and respond to big data’s opportunities. By tying projects to specific business goals, we help avoid issues brought on by projects becoming technology focused. Our deep data and analytics expertise brings specific use cases for healthcare and financial services. Carefully crafted strategies build a foundation for long-term success.


Detailed Data Maturity, Analytics Capability and Business/IT Gap assessments establish clear prioritization of objectives, helping unlock value and accelerating return on investment through:


  • IT and operational cost reductions

  • Data-driven organizational culture

  • Greater margins and profitability

  • Emerging threat and risks visibility