Digital transformation drives sustainability mainly by giving businesses a very clear picture of what their environmental impact is. This is made possible through data collection and analysis.
The data collected is anything related to sustainability—resource consumption or carbon emissions, for example—and is most efficiently collected through the use of IoT sensors. These sensors collect and transmit data wirelessly in real-time, giving businesses precise insight into how they can improve.
According to Deloitte’s Sustainability Analytics Guide, “Thanks to the latest [digital] tools and techniques, companies can now conduct real-time (or near real-time) sustainability analysis on vast quantities of data in three dimensions of time: past, present and future.”
AI and machine learning have big roles to play, too.
Armed with the right data, machines and equipment can automate decision-making processes that reflect the sustainability goals of the business. An article by Wayne Thompson, Huy Li and Alison Bolen of SAS states: “Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan.”
Related: Humanizing digital banking through conversational AI