Logical Data Management For Environmental, Social, And Governance (Esg) Initiatives
Dataversity, Friday, June 23, 2023
Driven in large part by a growing awareness of the effects of unchecked carbon emissions, environmental, social, and governance (ESG) initiatives have been gaining momentum across companies in Europe and, more recently, the U.S. Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that a strong commitment to ESG is necessary to attract and retain today's consumers and business partners.
While there are many ways to build, support, and develop an ESG initiative, one impactful way to streamline and dramatically accelerate such an undertaking is by managing data more effectively.
Data Management and ESG
ESG relies on a steady stream of reliable, trusted data. However, even in this age of big data and cloud, many companies continue to struggle with integrating data between different systems, business units, business functions, and geographies. Much of the data needed for ESG reporting is stored in functional silos, integrated only by replicating it to a central repository via batch-oriented extract, transform, and load (ETL) processes.