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BEYOND BACKUPS: EVOLVING STRATEGIES FOR DATA MANAGEMENT AND SECURITY
DataQuest
|June 2023
As businesses increasingly rely on data, the need for efficient and effective backup strategies becomes more critical. With the shift towards cloud-based storage, traditional backup methods may no longer suffice. In this interaction, we explore the evolution of data management and the future of backup strategies in the digital era.
BALAJI RAO Area Vice President, India & SAARC, Commvault
In today's data-driven world, the importance of backing up crucial data cannot be overstated. With the cloud bringing a technological shift to IT landscapes, traditional backup strategies are becoming obsolete. In this Q&A article, Minu Sirsalewala, Executive Editor, Special Projects, Dataquest interacted with Balaji Rao, Area Vice President, India & SAARC, Commvault, who shed light on the changing data management landscape, the biggest security threats faced by customers, the need to go beyond traditional security tools, and leveraging best data backup and recovery practices to advance business ROI/resilience. Rao also shared insights on the future of data backup strategies and how they will evolve by 2028. Here's exploring the best practices for rethinking old-fashioned backup strategies for the cloud age.
Can you discuss some of the biggest data management that businesses face in today's digital challenges landscape?
In India, 2022 has been a hotbed of ransomware incidents, including encrypting data, stealing data, extracting data, and leaking data-bringing data protection and compliance issues to the forefront. There are several data protection and compliance issues that need to be addressed, not only to safeguard personally identifiable information (PII) but also to safeguard sensitive business data, such as trade secrets and intellectual property. According to a Commvault-IDC research study, over 49% of Indian businesses said that malicious attacks had harmed their backup and data recovery. As the threat landscape changes, attacks will only get more aggressive in terms of complexity and scope.
This story is from the June 2023 edition of DataQuest.
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