Dell PowerVault DL2000 - Manual (Page 4)

Intelligent Data Management
December 08 Page 4
archiving, data classification, and search/discovery — and may depend heavily on expensive
consulting services to stitch things together.
For the most part, well-integrated data management solutions for the full life of an organization's
data do not exist. In fact, current products are focused on the enterprise market: high
performance and high complexity solutions that need to be managed by trained IT specialists.
These solutions are out of reach of SMBs, as they are too costly and too complex. In fact, many
SMBs simply don't deploy data-recovery solutions because they don’t have the budget or
expertise to pull together complex solutions in their environment. Often, this can leave
businesses exposed to data loss or legal action when data cannot be easily recovered or
discovered.
Dell is developing this new line of IDM products to solve these problems for our SMB
customers.
Dell's Vision: IDM
Dell is changing the economics of storage for SMBs by offering data-management solutions that
focus on reducing the complexity of disaster recovery and data management. Dell’s goal with
Intelligent Data Management (IDM) is to help organizations retain, discover, and recover
information according to their unique business requirements. Dell is working to develop fully
integrated and automated solutions that are simple to install and configure, easy to use, and
that meet these common customer needs:
• Data protection and recovery
• Legal and regulatory compliance, Disaster recovery and site recovery
• Leveraging digital content or assets
• Long-term data retention
• IT optimization
Goals and components of IDM
IDM, as an overall approach to data management, has several components that address IT's
major goals of keeping data as safe and available as it needs to be at every stage of its
lifecycle.
To manage and leverage information from creation to end of life, an organization needs to plan
adequately for growth. It needs to monitor its data center environment both to see where current
systems and architecture are inadequate or wasteful, and also on an ongoing basis to detect
potential issues and deal with them before they become problems. This way, IT can put in place
the resources it needs to grow gracefully and reduce or eliminate the possibility of data loss at
each phase of the data's lifecycle.