A big challenge to successful environmental, social and governance (ESG) investing is the ability of portfolio managers to use data efficiently to drive value creation.
Today, any ESG manager has to access, understand and analyse vast amounts of data, from worker safety standards to greenhouse gas emissions, to meet their commitment (and investors' expectations) to embed ESG analysis into their portfolio management. This need to meet investors' expectations has placed pressure on research providers who are expected to mine quantities of information to deliver timely, reliable and comprehensible ESG data. As more companies disclose data using different metrics and frameworks, investors are forced to compare and measure vast datasets. This can also ...
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