Articles & case studies
Over the past 40 years, we have established a strong track record of delivering excellence to our clients. Learn how we overcome obstacles through our expertise, technology, and commitment, to deliver risk free go-lives for our clients.
Finding Tomorrow's Warranty Claims Today
Case Study
Databricks
Data Value Realization
A leading automaker moved beyond reactive warranty analysis to identify emerging vehicle issues earlier, transforming connected vehicle data into actionable quality intelligence.
Enterprise AI Strategy: From License Purchase to Business Outcomes
Best Practices
Data Governance
Data Value Realization
Buying an AI license is not an AI strategy. Here is what organizations need to do after the purchase to move from capability to business outcomes.
Identifying Jane Doe: Beyond the Ticket Holder
Databricks
Case Study
Data Value Realization
A leading professional golf organization moved beyond ticket-holder data to uncover attendee behavior, audience insights, and sponsorship opportunities.
Why Most Health System M&A Efforts Fail to Deliver a Unified View of the Enterprise
Data Governance
Healthcare
Data Value Realization
Health system M&A struggles when data context is fragmented. Patient, provider, location, and financial definitions must be aligned to realize deal value.
The Cost of Fragmented Data in Health System M&A Is Higher Than You Think
Data Governance
Healthcare
Data Value Realization
Fragmented data is one of the largest hidden costs of health system M&A. Reconciliation, stalled decisions, and AI liability all compound after close.
The Agentic Trough Is Coming: Build Now or Get Stuck in It
Best Practices
Data Governance
Data Value Realization
Most organizations will spend on agentic AI and get little back. Foundation work in data, processes, and people separates winners from those who stall.
Foundation First: The Root Cause and the Path Forward
Data Governance
Best Practices
Data Value Realization
Part 2 of The Three Failures That Will Define Who Survives AI. Why treating data as a technology concern instead of its own strategic pillar is the root cause, and what Foundation First looks like in practice.
The Three Failures That Will Define Who Survives AI
Data Governance
Best Practices
Data Value Realization
Over 80% of AI projects fail to reach production. The problem is not the technology. Three predictable failure modes are turning enterprise AI into the most expensive technology failure in corporate history.
You Can’t Manage What You Haven’t Named
Data Governance
Best Practices
Data Value Realization
Data quality tells you if your data is clean today. The Organizational Malleability Score tells you whether your organization can keep it trusted as the business changes. Most leaders treat these as the same question. They are not.
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