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Perform a Data Audit

Your Challenge

Data issues are deeply rooted and extremely complex. Not only do organizations have trouble choosing a starting point for bad data, but they also have difficulty finding the root cause of the issue. As a result, data audits can be long, tedious initiatives, that offer little insight into the data issues.
Traditional data audits are too narrowly focused on security and compliance. Availability and trust issues need to be uncovered as well.
Organizations are not aware of all their data sources.
Organizations are conducting data audits that are ineffective, only focusing on issues and failing to get to the root of the problem.
Data audits are failing to provide insight into possible solutions and problem resolution.

Our advice

Critical Insight

Keep your systems dormant until disaster strikes. Prepare as much of your environment as possible without tapping into compute resources. Enjoy the low at-rest costs, and leverage the reliability of the cloud in your failover.
Avoid failure on the failback! Bringing up your systems in the cloud is a great temporary solution, but an expensive long-term strategy. Make sure you have a plan to get back on premises.
Leverage cloud DR as a start for cloud migration. Cloud DR provides a gateway for broader infrastructure lift and shift to cloud IaaS, but this should only be the first phase of a longer-term roadmap that ends in multi-service hybrid cloud.

Impact and Result

Calculate the cost of your DR solution with a cloud vendor. Test your systems often to build out more accurate budgets and to define failover and failback action plans to increase confidence in your capabilities.
Define “good enough” performance by consulting with the business and setting correct expectations for the recovery state.
Dig deeper into the various flavors of cloud-based DR beyond backup and restore, including pilot light, warm standby, and multi-site recovery. Each of these has unique benefits and challenges when done in the cloud.

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