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

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

 

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

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Data culture 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 culture improvements can be made.

Examples; 10 of the standard requirements:

  1. How can we improve Data culture?

  2. For your Data culture project, identify and describe the business environment. is there more than one layer to the business environment?

  3. Do we say no to customers for no reason?

  4. What potential megatrends could make our business model obsolete?

  5. Does the team have regular meetings?

  6. Is there a Data culture management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

  7. What will be the consequences to the stakeholder (financial, reputation etc) if Data culture does not go ahead or fails to deliver the objectives?

  8. What went well, what should change, what can improve?

  9. Has the improved process and its steps been standardized?

  10. Are controls defined to recognize and contain problems?

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 culture book in PDF containing requirements, which criteria correspond to the criteria in…

Your Data culture 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 culture Self-Assessment and Scorecard you will develop a clear picture of which Data culture 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 culture 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 culture projects with the 62 implementation resources:

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

Examples; 10 of the check box criteria:

  1. Team Operating Agreement: Do you ask one question at a time and wait 10 seconds for members to respond?
  2. Communications Management Plan: How is this initiative related to other portfolios, programs, or Data culture projects?
  3. Schedule Management Plan: Are individual tasks of reasonable time effort (8–40 hours)?
  4. Change Log: How does this change affect the timeline of the schedule?
  5. Risk Audit: Does the customer have a solid idea of what is required?
  6. Monitoring and Controlling Process Group: Based on your Data culture project communication management plan, what worked well?
  7. Project or Phase Close-Out: If you were the Data culture project sponsor, how would you determine which Data culture project team(s) and/or individuals deserve recognition?
  8. Risk Audit: Management -what contingency plans do you have if the risk becomes a reality?
  9. Human Resource Management Plan: Are meeting minutes captured and sent out after the meeting?
  10. Formal Acceptance: General estimate of the costs and times to complete the Data culture project?

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

1.0 Initiating Process Group:

  • 1.1 Data culture project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Data culture 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 culture 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 culture 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 culture 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 culture 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 culture project with this in-depth Data culture Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data culture 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 culture 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 culture investments work better.

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

 

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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.

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