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At the core of any business or organization is an enormous reliance on data to serve customers, drive insights, develop products and much more. Throw into the mix cyber threats from external sources and the unfortunate increase of insider bad actors, and it becomes more important than ever to ensure that the organization’s data is protected and recoverable. What makes this process even more challenging is the rapid growth of data, the distributed nature of data locations, and the load that places on infrastructure resources and administrators. All of this needs to be achieved with a finite budget and limited resources.
In addition to the management and protection of data, application owners and the business will assess their data from different risk or exposure points of view. That is, each owner has a level of tolerance for data unavailability through system outages, recovery operations or in a disaster recovery situation. Focusing on the data protection, recovery and disaster recovery readiness aspects of data, providing the relevant information to each party may not be easily achieved by the data protection application itself.
Leveraging a single centralized monitoring and reporting application, independent of the various backup applications by a single vendor or across different vendor applications is required. Dell Data Protection Advisor is a centralized monitoring and reporting application that is extremely powerful when leveraging its analysis engine, customization, and dashboards.
Before diving into the advanced anomaly detection capabilities of Data Protection Advisor, the first sections of this paper provide an overview of Data Protection Advisor, its infrastructure components and reporting capability, and introduces smart groups, alerting and how to leverage external data sources to enhance its capabilities.
Central to this paper is a focus on the advanced anomaly detection using Data Protection Advisor Analysis Engine, a powerful capability which inspects data collected from various sources, runs predefined rules established by application owners, and reports the findings. The analysis engine enables compliance-based reporting, a vital capability that helps organizations determine the risk exposure in their data protection environment.