File & Storage Capacity Management
As digital information continues to grow out of control (to nearly 1.8 zettabytes (1,800 exabytes) by 2011), organizations face the prospect of higher and higher storage costs. While the cost of storage is declining, information stores are growing. They are growing so quickly, in fact, that storage is costing organizations more, despite the reduction in hardware costs. Coupled with litigation and regulatory concerns, the rising cost of storage is forcing organizations to think about ways of deleting information.
The reality is that most organizations do not have enough insight into their stored data to delete with any degree of confidence. This data could be information that should be on legal hold, contain valuable knowledge assets, or subject to longer regulatory retention periods. Since they have no way of efficiently analyzing the data, most organizations simply keep it and submit to rising storage costs with no end in sight.
With Digital Reef, organizations have a way to quickly and easily gain insight into their information. Armed with this insight, organizations can intelligently decide what information is valuable from a knowledge perspective, related to retention schedules, or relevant to litigation or eDiscovery.
Organizations can use Digital Reef's advanced analytics to identify duplicates and near-duplicates (such as old versions) to reduce the storage footprint of unstructured content. Digital Reef can find and delete files that have exceeded their retention period. Since most of the information (80% or more) taking up storage space is unstructured content, Digital Reef can provide huge savings very quickly by allowing for massive storage reclamation.
Digital Reef provides multiple benefits for organizations looking to optimize storage infrastructure:
Ease of management
- Single index across petabytes of data gives IT a single view into the entire storage hierarchy
- Policy-based data management - create policies that copy, move, delete, or protect identified collections of data; or create content-based tiered storage policies to support ILM initiatives
Less time in reactive mode to request for information
- Audit teams looking for potentially sensitive or restricted data
- Legal teams looking for data responsive to litigation
- Knowledge workers looking for existing materials that can be leveraged on a current assignment
- Use de-duplication and near-de-duplication to eliminate redundant files and reduce the storage footprint
- Find and delete files that have exceeded their retention period