Happy 2025! We’re looking forward to a great year! High-quality sustainability data has a huge role to play, transforming sustainability efforts from a siloed function to a center of business profits and value creation. Read our forecast of key trends to see how this plays out.
#1 The Focus on Sustainability Data
In the scramble to meet regulatory reporting deadlines many companies have built out extensive hand-keyed data and spreadsheet systems. It got the job done, but the data is coarse and stale. Automated sustainability data systems – such as GLYNT.AI – deliver better data more quickly, with typical savings exceeding 80%. Imagine fresh, granular, audit-ready data delivered to the software systems you select. What can you do with all the hours freed up?
#2 Building the Business Case for Sustainability
Surveys show that the primary reason businesses don’t invest in climate solutions is the lack of a solid business case. So expect your finance team to demand a cost-effective data preparation service, in the same way every back office function has budget and digital transformation scrutiny. Second, the value of sustainability data is clear with rising energy and water costs and rising economic consequences of climate change. You need reliable, granular data on energy, water, waste and emissions to build the business case for savings, including sharing the data with investors and lenders. Typically businesses save 10–15% on first energy and water reduction projects, so the savings are there. Get access to money and impact with awesome sustainability data.
#3 Frustration with Brittle Sustainability Data Systems Boils Over
AI has leapt to the top of business strategies. When AI can drive cars, create music and write a college essay, sustainability teams are frustrated with their lot: Hours of effort to maintain spreadsheets, endless deadlines and the anxiety of error-prone systems. CFOs are frustrated with slow reporting that can’t be double checked and remains quite siloed. 2025 is the year of change. AI-powered sustainability systems like GLYNT.AI make the migration to automation and system management easy. With simplicity, speed and cost savings, there is no reason to suffer with duct-taped sustainability data systems in 2025.#4 The Rapidly Rising Costs of Energy and Water
The energy transition – the move from fossil fuels to clean energy – has been called the greatest investment opportunity of our lifetime. But the path is a bit bumpy. Demand for energy and water is rising faster than local supplies, and it will take years to get this smoothed out. So every business needs granular, fresh energy and water usage and cost data at every locale. Find out where the pain is most acute and deliver a plan that keeps costs low. Protecting your business from rising costs starts with high-quality energy and water data.#5 New Roles for AI in Sustainability
AI efforts in sustainability include building reporting narratives, monitoring real-time data for equipment failures and co-piloting with humans to speed established workflows. While improvements, none of these has tapped the full power of Gen AI (eg LLMs). The next wave of AI will be powered by large, internal data sets, enriched with cross-functional metatags, enabling LLMs to comb through business systems and find the big wins of previously unknown savings opportunities. This makes sustainability an operational player in an AI-powered future, well aligned with top strategic imperatives. The AI future starts with data. Use an automated sustainability data service that delivers an abundance of accurate, enriched, granular data.Make 2025 the year of change. Talk to GLYNT.AI. Our automated sustainability data service for energy, water, waste and emissions is fast and accurate, with significant cost savings.
