Automating Operations on Mission-critical Data

This technical report discusses the challenges and solutions associated with automating operations in the middle- and back-office of financial institutions, particularly focusing on post-trade operations. It outlines the necessity for a data-centric operating model that prioritizes data quality and automation over traditional workflow-centric approaches. The report emphasizes the importance of removing manual steps in data handling to enhance efficiency and reduce operational risks. It details the need for a versatile data automation platform that can standardize processes across various teams and improve data management. The document also presents case studies illustrating how organizations can tackle issues like reconciliation through standardization and consolidation of data operations. By adopting these practices, firms can achieve better data quality, reduce costs, and streamline workflows, ultimately leading to improved operational performance in capital markets.