Articles & case studies
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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.

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.

Don’t Slow Down the AI Train—Fix the Tracks
Data Governance
Best Practices
Data Value Realization
A response to Tom Davenport’s call to slow AI development. The problem isn’t that AI is too fast—it’s that organizations are too unprepared. The answer is better foundations, not less innovation.

Building an Operational Command Center for Enterprise Healthcare Leadership
Case Study
Data Governance
Data Value Realization
Best Practices
A healthcare organization partnered with Definian to modernize how executives monitor, understand, and act on operational performance across the organization.






















