Resilient Supply Chain Podcast: Transformation Fails Where Governance and Data Diverge
- The Supply Chainer

- Apr 3
- 3 min read
The latest episode of the Resilient Supply Chain Podcast examines a familiar but costly problem in large-scale enterprise change: transformation efforts that appear sound on the technology side but fail because the wider business is making decisions on very different terms.
Hosted by Tom Raftery, the episode features Don Mahoney, Global Head of Products and Innovation at SNP Group, whose experience includes nearly 15 years at SAP working with some of its largest global customers.
The discussion focuses on the intersection of governance, organisational change, data integrity and decision-making, and why these issues now matter as much as technology itself for supply chain leaders.
For executives managing operational resilience, cost pressure and risk exposure, the episode offers a useful reminder that failed transformation is rarely just a systems issue.
The full episode is available at www.resilientsupplychainpodcast.com.
A technology project is rarely just a technology project
A central theme in the conversation is that transformation programmes often break down because different parties are solving for different problems.
Mahoney describes one project that came to a halt even though the implementation team believed it was on track. The reason, he says, was simple: “they were making decisions in a five dimensional rubric and we were making decisions in one.”
In that case, the customer was weighing strategy, cost, risk, organisational change and technology, while the delivery side remained largely confined to the technology lane.
That distinction has important implications for supply chain and operations leaders.
Large transformation programmes often fail not because the technology cannot work, but because governance is too narrow, assumptions are not shared, and non-technical constraints are discovered too late.
Mahoney’s account suggests that resilience depends as much on decision alignment as it does on architecture or implementation quality.
Organisational change remains the underestimated constraint
One of the more striking points in the episode is the weight Mahoney places on organisational change management.
Even where strategy is clear, risks are understood, and the technology is capable, a company’s ability to absorb change at a realistic pace can still become the decisive limiter.
He notes that this can create “very expensive consequences” if the constraint is discovered only after a programme is well under way.
That point matters for supply chain leaders facing regulatory pressure, data modernisation programmes, or AI deployment. It suggests that transformation planning needs to test not only technical feasibility but also organisational capacity, governance discipline and the level of trust between customers, integrators and technology partners.

Mahoney argues that keeping those parties on a shared decision framework, or as he puts it, ensuring that “your plan is, my plan is our plan,” would have materially changed the outcome of the failed project he describes.
From transaction efficiency to decision quality
A second major theme is the shift from transaction processing to decision support.
Mahoney cites a former CIO’s view that the real aim of transformation is to move the business “from being a transaction machine to a decision machine.”
The distinction is important because transactions can increasingly be automated, while competitive advantage comes from faster, better and more informed decisions.
That shift raises the importance of data integrity.
If decision-making depends on fragmented, delayed or poorly governed data, then transformation may digitise inefficiency rather than remove it.
The conversation also touches on AI, but in a grounded way: the value of AI depends heavily on the quality and relevance of the data and processes it is built on.
In practice, that means leaders need to think less about adding intelligence on top of legacy structures and more about whether those underlying structures are fit for purpose.
The broader lesson from the episode is that operational resilience is shaped by governance quality as much as by systems quality. For supply chain, procurement and operations leaders, the priority is not simply modernising technology stacks, but making sure that cost, risk, organisational readiness and execution are assessed through a shared lens.
As regulatory demands rise and decision cycles compress, the organisations that perform best are likely to be the ones that treat transformation as a cross-functional governance challenge rather than a narrowly technical programme.





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