ABSTRACT
Commitments to adopt sustainability metrics or hefty multiyear targets continue to pose challenges for businesses. This chapter asks how they can implement science-based planning with an eye on the operational monitoring, tracking and executing of data-oriented roadmaps to achieve targeted impact outcomes. Most datasets built on Environmental, Social and Governance dimensions have already been introducing new sustainability parameters. Those parameters are nondirectly quantifiable and come in metric units different from those that organizations have traditionally used to inform decision-making. Scientific methods offer well-developed insights and tangible evidence of the tools needed to combat a climate crisis, but it is businesses and governments that are tasked with building data-informed resilience-planning scenarios. In the case of the built ecosystem, digital prototyping can be an essential tool in identifying both positive and negative externalities. Incorporating the digital insights of piloting efforts may yield faster adoption of alternative sources of data. Environmental and social commitments are increasingly being expressed in terms of impact outcomes to a wide range of stakeholders. This makes the adoption of a trust environment through digital ledger technologies an essential step to capture impact-oriented outcomes when mapping insights to the relevant stakeholder groups.
