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.
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.
The Model Isn’t the Problem
Data Governance
Best Practices
Healthcare
Healthcare AI pilots stall before reaching production. The model is rarely the issue. The gap between training data and production data is what breaks deployment.
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.
Starting with Everything Is a Good Way to Fix Nothing
Data Governance
Best Practices
Why cataloging everything is the fastest way to ensure your data initiative delivers nothing. A practical approach to scoping data catalogs for healthcare organizations.
Brittle Data Has a Cause. Data Malleability Is the Cure.
Data Governance
Data Value Realization
Data debt names what went wrong. Data Malleability names the capability that prevents it. This article introduces a new framework for building data that absorbs change instead of fracturing under it.
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