As data analytics began to emerge as a key factor in risk management for financial institutions, a problem arose: how can one perform risk analysis on information that’s been buried within legacy software systems, including spreadsheets and emails? The answer is an enterprise governance, risk management and compliance (eGRC) solution that uses automation, artificial intelligence and machine learning to see data fragmented across silos, allowing the principals to view the data through a “single pane of glass.”