EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Limited, each of which is a separate legal entity. Ernst & Young Limited is a Swiss company with registered seats in Switzerland providing services to clients in Switzerland.
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EY combines deep technical skills across a breadth of business issues to deliver value-led sustainability. Explore our sustainability and ESG services.
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What we measure determines what we strive for
Impact measurement stands for the process of quantitatively and qualitatively evaluating the impact of an organization. It is the most important tool to ensure businesses reach their goals.
Many attempts have been undertaken to standardize impact assessment and report on organizational impact, resulting in the first reporting standards in the late 1990s. Given the variety of existing reporting standards and frameworks, businesses still need to determine which disclosures to implement. Standard setters such as the Global Reporting Initiative (GRI), the International Sustainability Standards Board (ISSB), the World Economic Forum International Business Council (WEF IBC), the Science Based Targets Initiative, and the European Financial Reporting Advisory Group (EFRAG) are increasingly working in cross-collaborations to define common standards for sustainability reporting. Until these uniform and interoperable standards are established, firms and investors may struggle, for example, when comparing exposures among relevant industry competitors. For this reason, standardized certifications must emerge and be introduced in this area in the future. This will create a comparable basis.
In addition to the plethora of existing rules, many businesses still rely on manual methods to collect data, combine it across business divisions, and compute KPIs. This is not only prone to errors and inaccuracies but can also be time and resource consuming. Companies should harness technology whenever feasible to improve data analytics and automated controls and display the consequences of deviations from raw data input. Big Data facilitates the availability, use, and analysis of data. Furthermore, a robust data foundation may be automatically established to improve internal reporting and hence measure progress toward environmental and social goals.
Technology will be critical in directing us toward a greener future. Green growth, AI, and, in particular, machine- and deep-learning technologies have enormous potential to alleviate climate change and handle effect assessment difficulties. As a result, the private and public sectors must unite and collaborate to bring about the transformation that our society demands.