Choosing the right solutions enables IT organizations to minimize the burden of data management tasks while solving critical data challenges.
Growing data volumes
The growth of data shows no sign of slowing, thanks to technology trends that include Big Data, the Internet of Things, the rise of video as a communication medium and business applications that are increasingly data-intensive.
High performance expectations
Even as data management becomes more voluminous and complex, business reliance on data is greater than ever. Consequently, backup windows are growing smaller, requiring more powerful enterprise backup software and data management solutions that can protect data without impacting application performance.
Stricter regulation
The need to comply with a wide variety of regulation adds yet another layer of complexity and cost to data management.
Complex IT environments
Intelligent data systems must not only manage data on premises but in public, private and hybrid clouds, providing data administrators and decision-makers with a unified view of data across all environments.
Cost containment pressures
IT organizations in virtually every industry are pressed to do more with less, requiring data management technology that reduces administrative burden while improving efficiency and automation.
Multiple, fragmented tools
Many IT organizations are saddled with a confusing mix of point solutions for data management, with one system for backup and recovery, another for archiving and yet additional solutions for disaster recovery, analytics, virtualized environments and cloud data management. Not only is this approach to data management less efficient and more costly, but it increases the chances for data loss and minimizes the opportunities to extract value from business data.
