What the DPP Means for Finance: Beyond the Compliance Budget Line
Finance is usually the last function to be engaged on DPP readiness. And it is usually engaged in a specific way: someone needs budget approval.
That is a limited role. It is also, given what is actually at stake, the wrong one.
The investment case for DPP readiness tends to arrive in Finance as a compliance cost. A project number, a timeline, a request for resources. The framing is regulatory: a requirement is coming, and this is what it will take to meet it. Finance applies the usual lens — what is the minimum necessary, what can be deferred, how does this rank against other priorities — and the budget is set accordingly.
That framing is not wrong. The compliance requirement is real and the cost is real. But it captures only a fraction of the financial exposure the DPP actually represents. The functions building the business case rarely have the full picture. And Finance, operating downstream of the conversation, is not in a position to interrogate assumptions it has not been given.
The financial exposure from poor product data is not abstract. It runs across several categories that Finance is well-placed to evaluate — if it is given the opportunity to look.
The Green Claims Directive is in force. Sustainability claims that cannot be substantiated at the evidentiary level the Directive requires are not merely a reputational risk. They are a legal exposure. For a brand with extensive sustainability communications across product pages, packaging, marketing campaigns, and retail partnerships, whether those claims can be defended against the data behind them is a liability question. Finance understands liability.
Extended Producer Responsibility schemes are placing new cost structures on producers — fees calculated on the basis of material declarations and end-of-life outcomes. Inaccurate material composition data does not just create a compliance risk. It creates a fee calculation that may be wrong in either direction: underestimated, with the cost landing later; or overestimated, with the organisation paying more than it owes. Neither outcome is neutral.
Customs and trade processes are changing alongside DPP adoption. Supply chain data requirements at borders — particularly for markets with their own emerging traceability frameworks — are not converging by accident. They are converging because the underlying logic is the same: verified product data as a condition of market access. For any international brand, the financial cost of access interrupted or delayed because the data cannot satisfy a declaration requirement needs to be in the calculation.
The fate of unsold inventory is a less-discussed dimension. Returns, excess stock, and end-of-season product all have an environmental footprint that EPR schemes will increasingly price. An organisation that cannot account for what its products contain, or demonstrate legitimate end-of-life pathways, faces a cost for that gap — not only reputationally, but in the fees and restrictions that attach to disposal decisions made without the data to support them.
None of those exposures are hypothetical. They are functions of existing regulation, applied to the data quality problem that the DPP makes visible. What they share is that Finance is not currently in the room when the decisions that create or close them are being made.
This is the entry point worth reconsidering. The investment in data capability — supplier relationships restructured around data quality, governance established across functions, product information maintained as a managed asset rather than assembled on demand — carries a financial logic that a compliance framing alone does not capture. The cost of building that capability is real. So is the cost of not building it.
An organisation whose Finance function understands both sides of that equation is better placed to make the investment decision well. One that receives only the compliance cost without the exposure context will apply a reasonableness lens to the wrong question.
The role Finance plays in how organisations respond to structural change matters here. The DPP is not the only regulatory instrument landing on this sector. CSRD, EPR, the Green Claims Directive — these are not independent events. They share an underlying demand: evidence-based accountability for environmental and social claims. An organisation investing in data capability is not solving for a single regulation. It is building the foundation that makes each successive requirement tractable rather than disruptive.
The data quality problem this series has been tracing is, in financial terms, deferred maintenance on an asset the organisation never formally recognised it owned. The cost has been accumulating quietly, in the gap between what the organisation claims to know about its products and what it can actually demonstrate. Finance is well-equipped to understand deferred maintenance. Whether it has been given a clear enough view of the liability to price it — or only the cost of beginning to address it — is a different matter entirely.
Michael Shea is a digital excellence advisor, non-executive director, and leadership coach working with organisations navigating the human and technical dimensions of digital transformation. He hosts The Aeolian Discourse and writes at The Aeolian.