Schellman CEO Avani Desai highlights the critical gap between enterprise data visibility and operational reality, warning that shadow data and poor governance often undermine corporate security and integration efforts.

Key Points

• Organizations frequently discover shadow data in abandoned cloud storage, legacy SaaS exports, and decommissioned systems despite heavy investment in data discovery tools.
• Post-merger integration is often delayed by unmanaged data sprawl, duplicated datasets, and a lack of clear ownership or retention policies.
• Synthetic data is currently overmarketed as a security solution, while confidential computing remains an underappreciated tool for protecting sensitive data in use.
• Smaller companies often outperform large enterprises in compliance by implementing "governance by design" and avoiding the complexity of legacy silos.
• Data maps become obsolete immediately if organizations fail to assign specific accountability for validating data inventory after every operational change.

Why it Matters

Inaccurate data mapping forces leadership to make critical governance and risk decisions based on incomplete information, which can lead to costly remediation and security vulnerabilities. Establishing continuous validation processes is essential for enterprises to maintain compliance and successfully integrate new technologies or acquisitions.