Data management complexity arises from a fragmented landscape of software, infrastructure, and manual processes. A recent survey indicated that the average organization uses 23 different data management tools, which complicates the management of data life cycles. This complexity can impede digital transformation efforts, as 93% of IT decision-makers believe it hinders their organizations' ability to innovate and respond to market demands.

Organizations can simplify data management by adopting a cloud operational experience that unifies data operations across the data life cycle. This involves rethinking traditional siloed approaches and leveraging automation and cloud-native controls to streamline processes. By doing so, they can reduce complexity, improve agility, and enable faster access to data for innovation and decision-making.

Modernizing data protection is crucial as it addresses the growing risks of data loss and security threats, such as ransomware attacks. Effective data protection strategies, like Data Protection as a Service (DPaaS), can enhance recovery processes and ensure that data is secure and quickly recoverable. This not only safeguards sensitive information but also supports organizations in their efforts to leverage data as a strategic asset for innovation.