Lead and manage Master Data Management and Data Governance projects through all phases of the project lifecycle from planning, blueprint planning, Requirements Gathering, design, development, testing, and go live.
More Uses of the Data Management And Data Governance Toolkit:
- Ensure you handle; solid foundation in Data Management And Data Governance.
- Confirm your organization ensures adherence to Data Management And Data Governance Policies And Standards.
- Ensure adherence to Enterprise Data Management And Data Governance regulations and policies.
- Be accountable for developing Data Management And Data Governance plans and working with Metadata and Data Lifecycle.
- Liaise and align with Enterprise Data Management And Data Governance groups.
- Contribute to and support the achievement of the Master Data Management and Data Governance goals.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Management And Data Governance Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Management And Data Governance related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
STEP 1: Get your bearings
- The latest quick edition of the Data Management And Data Governance 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 999 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 Management And Data Governance improvements can be made.
Examples; 10 of the 999 standard requirements:
- Does Data Management And Data Governance create potential expectations in other areas that need to be recognized and considered?
- Who gets your output?
- Are the planned controls working?
- How many input/output points does it require?
- How do you ensure that implementations of Data Management And Data Governance products are done in a way that ensures safety?
- How is Data Management And Data Governance data gathered?
- Is there any reason to believe the opposite of my current belief?
- Are the criteria for selecting recommendations stated?
- How frequently do you verify your Data Management And Data Governance strategy?
- How will you measure your QA plan's effectiveness?
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 Management And Data Governance book in PDF containing 994 requirements, which criteria correspond to the criteria in...
- The Self-Assessment Excel Dashboard; with the Data Management And Data Governance Self-Assessment and Scorecard you will develop a clear picture of which Data Management And Data Governance 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 Management And Data Governance 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
- 62 step-by-step Data Management And Data Governance Project Management Form Templates covering over 1500 Data Management And Data Governance project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
- Project Scope Statement: Will all Data Management And Data Governance project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Management And Data Governance Project Team have enough people to execute the Data Management And Data Governance project plan?
- Source Selection Criteria: What are the guidelines regarding award without considerations?
- Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Data Management And Data Governance project plan (variances)?
- Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
- Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
- Procurement Audit: Was a formal review of tenders received undertaken?
- Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?
1.0 Initiating Process Group:
- 1.1 Data Management And Data Governance project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Management And Data Governance 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 Management And Data Governance 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 Management And Data Governance 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 Management And Data Governance 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 Management And Data Governance project or Phase Close-Out
- 5.4 Lessons Learned
In using the Toolkit you will be better able to:
- Diagnose Data Management And Data Governance 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 Management And Data Governance 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 Management And Data Governance investments work better.
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.