“Housing ESG data in a separate data lake can drive up total cost of ownership, as organizations must build and maintain distinct infrastructure for sustainability and financial reporting, rather than leveraging integrated ERP-centric capabilities.”Precedence Research

“Data lakes are susceptible to compromised data integrity due to errors, version control issues, and limited lineage—factors that increase audit complexity and costs.”

“Because data lakes often lack tight alignment with ERP master data, they suffer from data quality issues that undermine the accuracy and reliability of ESG reporting.”