Data Governance Planning Toolkit

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

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

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data Governance Planning 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 996 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 Governance Planning improvements can be made.

Examples; 10 of the 996 standard requirements:

  1. How will we define and categorize different types of external partners and third parties, such as vendors, contractors, research partners, and joint venture partners, and what specific policies and procedures will apply to each category?

  2. What are the critical data governance policies and procedures that will be required to ensure compliance with regulatory requirements, industry standards, and organizational policies for machine learning and predictive analytics?

  3. How will we establish and maintain a common vocabulary and set of definitions for data elements, including data quality metrics, data lineage, and data provenance, specifically for machine learning and predictive analytics?

  4. How will we establish and maintain training and education programs to ensure that personnel have the necessary skills and knowledge to support our data governance framework for machine learning and predictive analytics?

  5. What are the procedures for continuous improvement and feedback, including feedback mechanisms and lessons learned, to refine and enhance our data governance framework for machine learning and predictive analytics?

  6. How will we ensure compliance with ethical standards and principles, including fairness, transparency, and accountability, in the development and deployment of machine learning and predictive analytics models?

  7. How will we establish and maintain relationships with external data providers and partners, including data sharing agreements and data licensing arrangements, for machine learning and predictive analytics?

  8. How will we define and assign roles and responsibilities for data governance, including data owners, stewards, and quality control personnel, specifically for machine learning and predictive analytics?

  9. What specific data governance metrics will we use to measure the success of our training and awareness programs in terms of increasing employee understanding of data governance policies and procedures?

  10. What are the procedures for data profiling and data quality assessment, including data validation, data cleansing, and data transformation, specifically for machine learning and predictive analytics?


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 Governance Planning book in PDF containing 996 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Data Governance Planning Project Management Form Templates covering over 1500 Data Governance Planning project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Monitoring and Controlling Process Group: Overall, how does the program function to serve the clients?

  2. Human Resource Management Plan: Are adequate resources provided for the quality assurance function?

  3. Procurement Audit: Has the expected benefits from realisation of the procurement Data Governance Planning project been calculated?

  4. Risk Management Plan: Have customers been involved fully in the definition of requirements?

  5. Stakeholder Management Plan: Have all involved Data Governance Planning project stakeholders and work groups committed to the Data Governance Planning project?

  6. Procurement Management Plan: Were sponsors and decision makers available when needed outside regularly scheduled meetings?

  7. Cost Management Plan: Is the steering committee active in Data Governance Planning project oversight?

  8. Procurement Management Plan: Have all team members been part of identifying risks?

  9. Probability and Impact Matrix: What will be cost of redeployment of the personnel?

  10. Lessons Learned: How well were expectations met regarding the frequency and content of information that was conveyed to by the Data Governance Planning project Manager?

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

1.0 Initiating Process Group:

  • 1.1 Data Governance Planning project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Data Governance Planning 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 Governance Planning 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 Governance Planning 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 Governance Planning 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 Governance Planning 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 Governance Planning project with this in-depth Data Governance Planning Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Governance Planning 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 Governance Planning 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 Governance Planning investments work better.

This Data Governance Planning All-Inclusive Toolkit enables You to be that person.

 

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.