“We Need Your Emissions Data”: What to Do When a Stakeholder Comes Calling

Ahead of our May 27th webinar, Setting Up a Greenhouse Gas Quantification Program, we sat down with Daniel McDermott, who is a Principal Consultant at Montrose Environmental and teaches a graduate level course on Environmental Data Management at Oregon State University. He will be leading the session to discuss why a thoughtful approach to GHG data management matters—and how companies of all sizes can build a solid foundation without overcomplicating the process.
Mother Parkers started their GHG work in response to a requirement for one of their customers—how common is that entry point, and what can other companies learn from it?
That’s actually one of the most common ways companies begin their emissions journey. These days, more large companies are asking their suppliers for GHG data to help meet their own climate goals, especially around Scope 3 emissions. For smaller or mid-sized suppliers, that kind of request can feel unexpected or overwhelming, but it’s also a great opportunity to get started.
Even though government regulations around emissions reporting can shift depending on the political climate, the pressure from customers and investors is more consistent—and it's only going to increase. These groups want to see real progress and transparency, regardless of what regulations are in place. So, instead of treating a customer request as a one-time task, companies can use it as a chance to build up internal systems and get ahead. It’s a smart way to move from reactive to proactive, and it sets you up for long-term success as expectations keep rising.
What are some of the biggest misconceptions you see when companies start their GHG quantification journey?
There are two big misconceptions we see all the time. First, many companies assume GHG quantification is just a reporting exercise; a spreadsheet that you need to fill out once a year to check a box. Before even starting the data collection process, companies need internal alignment on the right methodologies and a clear definition of what parts of the business and which emission sources are in scope. In addition, gathering accurate data is a cross-functional effort that involves departments like operations, procurement, facilities, and finance. Without agreed-upon standards and boundaries, it’s easy to overlook key data or double-count emissions.
The second misconception is at the other end of the spectrum—thinking everything has to be perfect before getting started. Some teams get stuck waiting for flawless data or fully built-out tools or technology. But in reality, it’s much better to start with what you have and establish standardized processes and roles, clearly document any gaps or assumptions, and improve the process over time. GHG reporting is iterative, and most programs mature through use, gaining familiarity, and implementing continuous improvements into their processes.
Why is an Inventory Management Plan (IMP) such a critical component of a GHG program, especially for companies just starting out?
An IMP is like a rulebook for how you measure and track emissions and the backbone of any credible GHG quantification program. It lays out methodologies, data sources, responsibilities, and quality control procedures, ensuring consistency over time as staff or systems change. For companies just starting out, it helps clarify roles, define data flows, and ensures auditability and transparency. Without an IMP, companies often struggle with inconsistent reporting, data quality issues, duplication of effort, or misalignment with disclosure expectations. Starting with a solid IMP creates a solid foundation that can be continuously improved upon as an organization’s sustainability program matures.
We hear a lot about technology solutions for GHG data management—what’s your perspective on building a successful approach and is software a critical element of that approach?
Technology can absolutely help streamline GHG data management, especially for larger companies or those with complex operations. But software is only effective when paired with strong internal processes that have strongly established standards for documenting what data is needed, how the data is used, and who is responsible for it. For many organizations, starting with simple tools, like spreadsheets paired with a well-designed IMP, can be sufficient in the early stages. However, as the program matures, more advanced software can enhance efficiency, automation, and integration with other systems. Software should enhance your environmental data management, not define it.
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About the Author

Daniel McDermott
Montrose Environmental
Daniel McDermott proudly assumes the role of Montrose’s Lead for Air Emissions Monitoring and Reporting under the EHS&S Management Information Solutions (EMIS) service line, steering innovation and strategy in the realm of data management and systems architecture. Throughout his career, Daniel has partnered with numerous organizations, assisting with the development and implementation of solutions to address emissions regulatory reporting requirements and the latest advancements in sustainability initiatives and GHG quantification methodologies. He collaborates closely with clients, gaining insight into their current environmental data management methods and, utilizing industry best practices, supports them with the creation and adoption of uniform environmental data monitoring and tracking processes that promote auditability, data quality, and operational efficiency. His client assistance strategies focus on establishing a standardized set of procedures, roles, and responsibilities that are customized to meet each client’s existing organizational structure and serve as a resilient foundation for continuous improvement.