ENERGY MANAGEMENT & SUSTAINABILITY
SLOW AND STEADY DOES NOT WIN THE RACE
As sustainability reporting grows in complexity and importance, Tom Anderton, Head of Customer Success at TEAM Energy, explores the benefits of high-frequency granular data in full-lifecycle emissions reporting and why moving at a leisurely pace will not win the reporting race. Near real-time data is where the organisational benefits lie.
For too long organisations reporting their sustainability have done so manually, infrequently, and potentially relying on inaccurate or out-of-date estimations of the complex systems they report on. Too often an Excel spreadsheet carries the evidential burden prompting organisation-wide change that is supposed to help everyone reach net zero emissions in line with 1.5C of warming by 2050.
This is understandable. It has traditionally been hard to collect sustainability data and time-consuming to report on it. In most cases it still is.
The growing importance of greenhouse gas (GHG), sustainability, and energy reporting makes it necessary to change to faster, more accurate data collection for precise, actionable reporting that can help all organisations achieve their net zero targets.
Without a change in data collection systems, organisations face the potential of reputational, legal, or market risk. Financial data, incentives, and sustainability information are now linked. Failure to report accurately and on time means stakeholders are unable to judge the legitimacy and effectiveness of their sustainability projects, while investors become restless as ESG requirements are not evidenced. The way forward is near real-time data collection.
54 | TOMORROW’S FM APIs for organisation-wide
data collection Sustainability reporting is hungry for data. What it consumes comes from a sweeping range of sources. Historically that data has been siloed in different systems and inaccessible other than by manual extraction, then input somewhere else. The infrequency means anything collected is quickly out- of-date and inaccurate.
Application programming interfaces (APIs) liberate that data from manual, siloed
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