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.
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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