Optimize the DRP for Business-Critical Analytics

As analytics become more critical to business processes, whether it's big data or “small” data, your DRP needs to keep up.


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Analytics will often morph into a key organizational dependency, however, ad hoc DR processes will miss this transformation and cause:

  • Gaps in your DR preparedness, decreasing the likelihood of a successful recovery during a disaster.
  • An inability to prioritize resources and provide adequate support for the most critical analytics data sets.
  • A lack of engagement from executives, resulting in under-provisioned DR investment.

Proactive evaluation of the criticality of analytics will result in:

  • Increased awareness of the importance of analytics data, resulting in increased likelihood of a successful recovery.
  • Appropriate resource allocation for one of the organization’s most critical dependencies.
  • Ability to create a scalable DR environment that will accommodate the future analytics needs of the business.

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Module 1: Map Out Key Business Processes

The Purpose

  • Identify critical business processes that rely on analytics data.
  • Determine where within the business process is analytics data critical and what the business impact is if the analytics data was not available during downtime.  

Key Benefits Achieved

  • Define analytics data dependencies within critical business processes.
  • Uncover knowledge gaps where the business is leveraging analytics data in a way that IT is not aware of.

Activities: Outputs:
1.1 Document critical business processes.
  • Document a prioritized list of key business processes.
1.2 Map out data-driven business processes.
  • Create visual business process documentation.
1.3 Determine where analytics data becomes critical in the business process.
  • Identify data dependencies within the business process.

Module 2: Initiate the Data Criticality Assessment

The Purpose

  • Establish a program to evaluate which data sets warrant higher availability.
  • Identify and document which repositories currently hold critical analytics data.

Key Benefits Achieved

  • Differentiate levels of criticality within data sets and identify the most critical analytics data.
  • Determine which repositories should be given the highest priority.

Activities: Outputs:
2.1 Create the data criticality inventory scheme.
  • Organized data criticality schema.
2.2 Identify and describe data repositories.
  • Documented list of data repositories.
2.3 Begin documenting data sets in the data criticality inventory.

Module 3: Complete the Data Criticality Assessment

The Purpose

  • Document all critical analytics data sets into the data criticality inventory tool.
  • Determine DR requirements for each specific data set.
  • Evaluate potential DR solutions based on DR requirements.

Key Benefits Achieved

  • Catalog of critical analytics data sets that are matched to each repository.
  • Differentiate between each data set and prioritize available resources.
  • Overview available options and select a best-fit solution.

Activities: Outputs:
3.1 Complete the data criticality inventory.
  • Finalize the Criticality Inventory Tool.
3.2 Assign RTO and RPO requirements based on business impact.
  • Updated business impact analysis.
3.3 Assess the recommended recovery solutions based on DR requirements.
  • Review DR solution recommendations.

Module 4: Optimize the Disaster Recovery Plan

The Purpose

  • Define an appropriate deployment model for the desired DR solution.
  • Garner executive support for current and future DR projects.
  • Document the necessary project steps to implement the desired DR solution.

Key Benefits Achieved

  • Select a DR solution that fits into your current DR environment and management appetite for DR initiatives.
  • Level set people, process, and technology requirements for the DR solution.
  • Organize tasks and determine FTE gaps or budget gaps within the implementation plan.

Activities: Outputs:
4.1 Review the DR solution selection methodology.
  • Select the appropriate DR solution based on a benefits/costs analysis.
4.2 Craft the Executive Presentation Deck.
  • Create a tailored executive presentation which summarizes progress to date and future initiatives.
4.3 Complete the Project Planning and Prioritization Tool.
  • Prioritized list of projects with FTE and budget analysis.
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