Environmental Data ROI: Understanding the Business Value of High-Quality Data

November 28, 2025
Written by  
Nick Greenwood
Climate Innovation Lead
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We share some highlights from our recent webinar on translating environmental data into business value and unpack what it takes for environmental data to move from being sufficient for annual disclosure to being fit for strategic decision-making.

Why the business value conversation matters

Last week we hosted a webinar on how sustainability teams can make a credible business case for investing in better quality environmental data. It’s a question that keeps coming up: sustainability teams are increasingly under pressure to justify their time, tools and budgets in more commercial terms.

For the webinar, we were lucky to have Cedric Robert, CEO of Clearsum, a climate advisory firm that helps leadership teams convert climate complexity into commercial advantage, and Charlie Bridge, our COO here at Minimum.

Cedric spelled out the challenge: sustainability is often framed in ways that don’t resonate with how executives allocate capital. When sustainability is presented as an overhead - rather than as a driver of revenue, cost reduction or competitive advantage - it tends to lose in the boardroom.

This matters particularly in the current political climate - values-based narratives are struggling to cut through in business environments focused on the bottom line. When sustainability opens markets, protects revenue or reduces financing costs, it becomes much harder to ignore.

The three levers of business value

A useful way to do this is to start with the levers executives already use to make decisions: revenue, cost and risk, and the order matters. Both speakers noted that the most compelling  arguments in the boardroom usually start with revenue or growth: accessing new markets, developing premium positioning, meeting customer expectations. Cost reduction comes next, followed by asset protection and risk resilience.

There are also two overlooked levers: market access (sustainability credentials can unlock tenders or contract opportunities - a precursor to generating revenue) and talent (strong climate ambition influences a company’s ability to attract and retain talent, which has been shown particularly important for younger generations). These effects accumulate over time and shape competitiveness, even if they don’t always appear in short-term ROI calculations.

This framing aligns closely with what we see in practice: sustainability teams that anchor their work in these levers tend to gain more traction internally and secure investment more consistently.

The importance of decision-grade environmental data

This shift in framing has implications for the type of data sustainability teams need. There is a crucial difference between environmental data that is sufficient for annual disclosure and decision-grade data that is able to drive business value.

Data that’s good enough for disclosure is often aggregated, retrospective and dependent on manual compilation. It meets reporting requirements and may be helpful for investors but it seldom shows where value lies or supports real-time operational planning.

Decision-grade data, on the other hand, needs to align with the decisions businesses are trying to make - procurement, capital allocation, product development, network design. For this to happen, environmental data needs to meet five criteria:

  1. Granularity: reflecting actual operations, not high-level averages.
  2. Accuracy: transparent, traceable, and robust enough to withstand financial scrutiny.
  3. Timeliness: available on a cadence that matches business cycles, not annual reporting.
  4. Shareability: easily flowing across systems and teams.
  5. Context specificity: expressed in metrics the business uses to evaluate performance.

Real world examples of how environmental data generates business value

Both our speakers provided real-world examples of how high quality environmental data has generated business value, while also delivering on sustainability objectives.

They provided examples from:

Oil & Gas: Cedric worked with a company that wanted to explore alternative business lines for the next two decades. Instead of focusing on high-level aspirations, the company worked with Cedric and his team to develop emissions pathways, cost curves and market data to evaluate new revenue opportunities in the same terms as a CFO would expect. Environmental data wasn't an add-on to strategy but the basis for it.


Infrastructure resilience: Cedric engaged with a technology firm that suspected climate risk would drive demand, but didn't know where. By combining physical risk data with market analysis, they were able to identify which infrastructure types and regions would see the earliest impact, enabling targeted product development and sales - getting ahead of their competitors.


Consumer goods: Minimum works with a customer entering the EU market, which needed robust environmental data to compete against established regional players. This firm was able to leverage Minimum to build a credible, defensible sustainability proposition based on high quality data that could withstand scrutiny from buyers and retailers, enabling successful expansion into a market with higher expectations around environmental performance.


Telecoms: A Minimum customer used high-frequency environmental data to integrate acquisitions and support investment decisions. They were able to easily incorporate newly acquired entities into their decarbonisation plans without slowing progress and continuing to demonstrate credible climate performance to investors.

ROI as the entry ticket

Being able to calculate and justify the ROI for environmental data software and systems is crucial. Sustainability projects compete for capital with other business investments and must be evaluated through the same lens. If the return on investing in emissions software (for example) cannot be quantified in the language of value creation, it is unlikely to secure funding.

For software, efficiency gains can be a natural starting point for beginning an ROI calculation. Sustainability teams should map where value could be created in their organisation and compare that to how their time is currently spent. This often highlights the bottlenecks that prevent high-value work and makes the need for better environmental data more tangible.

But efficiency doesn’t capture the full benefits of investing in software, especially when considering potential revenue opportunities that can be unlocked by obtaining better quality data. These will likely be unique to each business and require bespoke modelling.

Bottom Line

We concluded the webinar by asking both speakers the following:

If you had one piece of advice for sustainability professionals making the business case, what would it be?

Cedric recommended involving providers of high quality environmental data directly in the ROI conversation. He suggested asking them to help model the business case, not simply deliver technical outputs. This could even be included in RFP criteria.

Charlie suggested mapping how sustainability can add value across revenue, cost and risk, and then compare that to how the team’s time is currently being used. The gap between the two often reveals the strongest argument for investment.

The Minimum Line

Sustainability teams need to think in business value terms when making the case for investing in better quality environmental data. Revenue generating opportunities are likely to be most compelling but arguments related to cost savings, market access, as well as risk avoidance and talent attraction can also help.

These benefits can only be achieved by having environmental data that is robust, timely and specific enough to enable action to be taken. This is why it’s critical to invest in software and systems that can deliver high quality environmental data.

Watch the full webinar: How to translate your environmental data into business value

Written by  
Nick Greenwood
Climate Innovation Lead
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