| |
|
| Benefits |
| |
|
 |
Identify problems as they occur using frequent, in-depth automated auditing and analysis |
|
 |
Dramatically reduce current manual labor |
|
 |
Understand root-cause, impact and severity of Disaster Recovery gaps |
|
| Once a sufficient number of new signatures has been identified and modeled, the Continuity Research Lab publishes an updated gap database to RecoverGuard customers worldwide. This ensures that: |
|
 |
Identify problems as they occur using frequent, in-depth automated auditing and analysis |
|
 |
Significantly improved Disaster Recovery readiness, state knowledge and coverage |
|
 |
Optimize Disaster Recovery investment and reduce associated waste |
|
 |
Invaluable tools for fault resolution during crisis situation |
|
 |
Dramatic reduction of the labor associated with planning testing and auditing |
|
 |
Update of the latest industry best practices |
| |
|
| |
|
|
|
 |
“IDC believes that given the highly dynamic
nature of enterprise data centers, in which production configuration
changes occur constantly and data is being replicated to remote DR
sites on a regular basis, an automated approach for identifying data
protection gaps is now required.”
Dan Yachin, research director, IDC EMEA Emerging
Technologies
|