Stop Chasing Perfect Scope 3 Data and Start Reducing Emissions

During the Scope 3 Innovation Conference, someone boldly declared, “Scope 3 is not real.” The room went quiet except for the faint tapping of a few sustainability officers double‑checking their emissions reports in Excel. It wasn’t blasphemy, it was exhaustion. Because when you’re dealing with the emissions you don’t control, hidden across invisible supply chains and questionable spreadsheets, “Scope 3” can start to feel overwhelming.

The conference made it clear that the biggest challenge isn’t setting targets, it’s understanding what we are counting in the first place. “Data quality” became the phrase of the day, often followed by numerous questions. As Craig Cammarata from Bureau Veritas pointed out, many companies are drowning in “spend‑based assumptions,” numbers that give the illusion of precision without much grounding in reality. Suppliers fill out exhaustive surveys, analysts build elaborate models, and executives chase 95% inventory accuracy as if perfection itself could lower emissions. Nita Johri put it best: “We have become so obsessed with perfect data that we sometimes forget to use it.”

This fixation on precision can create a kind of paralysis. Despite all the AI technology and effort, data gathering consumes so much time that little space remains for meaningful collaboration. Many small- and mid‑sized suppliers lack the tools, staff, or budget for detailed carbon inventories, and larger companies attempting to verify every metric risk alienating those they need most. The discussion is shifting toward a more practical mindset: moving from perfect data to actionable data. “Directionally right” information is often enough to make responsible decisions. Knowing your data is good enough to guide strategy is more valuable than waiting months for a single decimal point to adjust. After all, the atmosphere will not reward perfect spreadsheets; it will reward collective reduction.

Turning that logic into action requires rethinking how businesses engage their suppliers. Nira introduced the idea of moving from compliance to capacity. Sustainability teams have treated suppliers like students taking an endless exam: fill out this form, confirm that policy, and meet this generic target. But true progress depends on helping suppliers build the capacity to change, not just the discipline to comply. Compliance can track behavior, but only capacity can transform it.

Some companies are embracing this shift by co‑creating decarbonization plans, sharing training resources, and even providing funding for smaller suppliers who want to invest in cleaner technologies. This collaboration fosters mutual benefit; if every link in the supply chain becomes more efficient, both resilience and competitiveness improve. It also helps overcome the fatigue that comes from endless reporting. The real issue is not a lack of willingness, but the sheer overload of data, with suppliers struggling to keep up with constant requests, shifting metrics, and complex emission factors.

A shared infrastructure for data, standards, and communication can ease that burden and make sustainable transitions achievable at scale.

While discussions of supplier partnerships felt grounded and optimistic, the conversation around measurement grew more philosophical as the conference went on. What does “accuracy” even mean when dealing with emissions spread across thousands of factories, offices, and service providers worldwide? Craig reminded the audience that even the most sophisticated carbon inventories rely on hybrid systems of estimates and models.

Chris Cooke from The Estée Lauder Companies quipped that calculating emissions from digital advertising is very difficult because the process is highly abstract and hard to measure precisely. Vance Merolla, Senior Vice President of Global Sustainability from Colgate, argued that the key isn’t precision but materiality: companies should focus on what truly matters to risk, reputation, and long‑term value.

Yet investor pressure complicates this. As expectations for disclosure grow, sustainability reports increasingly resemble financial audits, demanding flawless numbers from inherently uncertain data. The irony is that by chasing perfect accuracy, companies risk freezing innovation and stifling transparency. The smarter approach, several speakers agreed, is “radical honesty.” Admit uncertainty, share your assumptions, and document your plans for improvement. Perfection is unattainable, but progress is measurable, and credibility comes from effort, not flawlessness.

By the final session, the tone had shifted from frustration to pragmatic determination. If Scope 3 is not real, as the opening provocateur suggested, it might still be the most consequential “unreal” thing in corporate sustainability. Companies cannot directly control these factors, but they can shape them by engaging effectively with their suppliers.

No one succeeds alone. We cannot model away complexity or spreadsheet our way to net zero. The path forward lies in building relationships based on shared goals, using data as a guide rather than a gatekeeper, and investing in the capacity of everyone involved. Precision matters, but action matters more. The climate crisis demands momentum, not mathematical perfection.

In the end, Scope 3 may never feel entirely real in the accounting sense, but the emissions and the responsibility undeniably are. What is real is the collaboration, creativity, and courage required to turn imperfect information into tangible progress.