Data management complexity arises from a fragmented web of software, infrastructure, and manual processes that span various functions like production, backup, and analytics. A recent survey indicated that 93% of IT decision-makers believe this complexity hinders their organization's digital transformation efforts.

Organizations can simplify data management by adopting a holistic, data-centric approach that eliminates silos and complexity. This includes leveraging cloud-native control for managing data and infrastructure, implementing automated policies, and utilizing AI-driven insights to streamline operations and improve access to data.

Modernizing data protection is crucial due to the increasing risks of security threats and data loss, including ransomware attacks. Traditional backup and recovery methods often fall short, making it necessary for organizations to adopt Data Protection as a Service (DPaaS) to ensure robust protection, compliance, and quick recovery from disruptions.