Technology makes the work of sustainability professionals more efficient in many ways. Data management platforms can be particularly helpful. These platforms are often used to track enterprise-wide emissions in one convenient place. However, a nice data management system isn’t a replacement for quality data. A recent Sodali & Co. memo outlines 11 best practices for collecting accurate, auditable GHG emissions data. Number 8 reminds us that technology is only as good as the data it’s based on:
“Software Solutions are Tools, Not Replacements. GHG accounting software should be viewed as an enabling component of a well designed inventory process, not a replacement for it. Companies increasingly rely on these platforms to streamline data management, improve efficiency, and enhance consistency across reporting cycles. When implemented effectively, software can help organize activity data, apply emission factors, perform calculations, and generate reports. However, these platforms are not turnkey solutions. Successful implementation still depends on adequate internal resources, clearly defined ownership, and ongoing governance over data, methods, and controls.”
This pointer should be taken to heart, especially in the new and evolving world of AI. A popular phrase in the AI world is “garbage in, garbage out.” This means that any technological system is only as accurate as its underlying data. Technology is not a panacea, and data governance is critical. Understand the limitations of your emissions platforms, rely on estimates as little as possible, and never trust figures from an AI platform without verifying them first.
Our members can learn more about GHG accounting and assurance here.
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