Data at rest: Is Data at rest linked to key stakeholder goals and objectives?

Save time, empower your teams and effectively upgrade your processes with access to this practical Data at rest Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data at rest related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

https://store.theartofservice.com/Data-at-rest-toolkit-best-practice-templates-step-by-step-work-plans-and-maturity-diagnostics/

 

The Toolkit contains the following practical and powerful enablers with new and updated Data at rest specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Data at rest Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals…

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data at rest improvements can be made.

Examples; 10 of the standard requirements:

  1. What percent of successful data compromises have been directed at data in transit as compared with those directed at data at rest?

  2. Who will be responsible for making the decisions to include or exclude requested changes once Data at rest is underway?

  3. Have you found any ‘ground fruit’ or ‘low-hanging fruit’ for immediate remedies to the gap in performance?

  4. Were any criteria developed to assist the team in testing and evaluating potential solutions?

  5. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

  6. Is Data at rest linked to key stakeholder goals and objectives?

  7. Have all of the relationships been defined properly?

  8. Encryption of data at rest -at what levels?

  9. Is data collection planned and executed?

  10. Where is it measured?

Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the Data at rest book in PDF containing requirements, which criteria correspond to the criteria in…

Your Data at rest self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the Data at rest Self-Assessment and Scorecard you will develop a clear picture of which Data at rest areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough Data at rest Self-Assessment
    • Is secure: Ensures offline data protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:

 

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Data at rest projects with the 62 implementation resources:

  • 62 step-by-step Data at rest Project Management Form Templates covering over 6000 Data at rest project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. WBS Dictionary: Does the contractors system description or procedures require that the performance measurement baseline plus management reserve equal the contract budget base?
  2. WBS Dictionary: Are all elements of indirect expense identified to overhead cost budgets of Data at rest projections?
  3. Risk Audit: To what extent should analytical procedures be utilized in the risk-assessment process?
  4. Scope Management Plan: Who is responsible for monitoring the Data at rest project scope to ensure the Data at rest project remains within the scope baseline?
  5. Probability and Impact Assessment: Have decisions that should be left open because of inadequate information on technology been identified and responsibility assigned for reducing the uncertainty?
  6. Procurement Management Plan: Are meeting objectives identified for each meeting?
  7. Procurement Audit: In case of time and material and labour hour contracts, does surveillance give an adequate and reasonable assurance that the contractor is using efficient methods and effective cost controls?
  8. Team Operating Agreement: Must your members collaborate successfully to complete Data at rest projects?
  9. Variance Analysis: Are there changes in the direct base to which overhead costs are allocated?
  10. Responsibility Assignment Matrix: What simple tool can you use to help identify and prioritize Data at rest project risks thats very low tech and high touch?

 
Step-by-step and complete Data at rest Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Data at rest project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Data at rest project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Data at rest project Scope Statement
  • 2.7 Assumption and Constraint Log
  • 2.8 Work Breakdown Structure
  • 2.9 WBS Dictionary
  • 2.10 Schedule Management Plan
  • 2.11 Activity List
  • 2.12 Activity Attributes
  • 2.13 Milestone List
  • 2.14 Network Diagram
  • 2.15 Activity Resource Requirements
  • 2.16 Resource Breakdown Structure
  • 2.17 Activity Duration Estimates
  • 2.18 Duration Estimating Worksheet
  • 2.19 Data at rest project Schedule
  • 2.20 Cost Management Plan
  • 2.21 Activity Cost Estimates
  • 2.22 Cost Estimating Worksheet
  • 2.23 Cost Baseline
  • 2.24 Quality Management Plan
  • 2.25 Quality Metrics
  • 2.26 Process Improvement Plan
  • 2.27 Responsibility Assignment Matrix
  • 2.28 Roles and Responsibilities
  • 2.29 Human Resource Management Plan
  • 2.30 Communications Management Plan
  • 2.31 Risk Management Plan
  • 2.32 Risk Register
  • 2.33 Probability and Impact Assessment
  • 2.34 Probability and Impact Matrix
  • 2.35 Risk Data Sheet
  • 2.36 Procurement Management Plan
  • 2.37 Source Selection Criteria
  • 2.38 Stakeholder Management Plan
  • 2.39 Change Management Plan

3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log

4.0 Monitoring and Controlling Process Group:

  • 4.1 Data at rest project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance

5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 Data at rest project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Data at rest project with this in-depth Data at rest Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data at rest projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in Data at rest and put process design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’

This Toolkit empowers people to do just that – whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc… – they are the people who rule the future. They are the person who asks the right questions to make Data at rest investments work better.

This Data at rest All-Inclusive Toolkit enables You to be that person:

 

https://store.theartofservice.com/Data-at-rest-toolkit-best-practice-templates-step-by-step-work-plans-and-maturity-diagnostics/

 

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.