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How EY can Help
Leveraging advanced data analytics
The use of advanced analytics is instrumental in extracting relevant ESG insights from data. Advanced analytics can help companies structure, synthesize, interpret and derive insights from voluminous data, and create credible and useful ESG reporting. Bearing this out, the EY 2021 Eighth Global Corporate Reporting Survey, which examines the perspectives of more than 1,000 CFOs, financial controllers and other senior finance leaders globally, found that the top technology investment priority for finance leaders over the next three years is advanced and predictive analytics.
Yet even as finance teams seek to build a more agile financial planning and analysis approach, several data challenges stand in the way. These include the sheer volume of external data, followed closely by data quality and comparability issues, according to the abovementioned survey. Boards should assess if finance leaders have adequate resources and budgets to address these challenges and increase their use of advanced data analytics to deliver more robust reporting.
A key way to leverage data analytics to enhance the quality of reporting is to introduce forward-looking insights, for example, by bringing in external data to corroborate and provide analysis on future trends. Thereafter, this downstream reporting outcome can be used to streamline upstream activities, such as capturing data in the right format to allow for efficient collection and analysis. This requires proper planning from data collection to reporting, with technology as a key enabler. Hence, this process should be considered as part of an organization’s digital transformation journey.