Implement strong processes from the creation of Master Data thru to creating the rules of Data Governance that are carried out in the processes in your organization.
The Self Assessment Kit is a tool designed to help you as the consultant or manager identify areas of your organization where industry standards are not being met.
Using the toolkit effectively will save you and your staff many hours of R&D time in writing the questions and templates to obtain the results needed to analyse the data collected.
DO YOU HAVE THE TIME TO WASTE? THIS TOOLKIT WILL SAVE YOU TIME AND MONEY.
The Toolkit contains the following practical and powerful enablers with new and updated Master Data Management and Data Governance specific requirements:
STEP 1: Get your bearings
- The latest edition of the Master Data Management and Data Governance Self Assessment Toolkit 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 Master Data Management and Data Governance improvements can be made.
Examples; 10 of the 996 standard requirements:
- Do you have the capabilities required to deliver value from your most material sustainability and ESG issues and opportunities, and to mitigate associated risks?
- How can it and internal audit collaborate more effectively to ensure the data and information governance program is an effective risk management mechanism?
- Is data security sufficiently addressed in current data governance, data architecture, IT project management and IT program management activities?
- How master data governance approach within master data management is relevant towards master data quality issues during ERP deployment projects?
- Are you able to orchestrate internal information and material flows, business processes, and financial flows within your different entities?
- Does the manager integrate analysis of financially material environmental, social and governance issues into its investment process?
- What is the process for developing policy guidance for governing network activity as pre-emption, end user priority, and security?
- What other factors are driving changes in the enterprise and the increasing need for strong IT governance processes?
- Is the concept of Data and Information Governance recognized by executives as a requirement for your organization?
- Does the vendor derive most of revenue from license software or from follow-on business as professional services?
Complete the self assessment, on your own or with a team in a workshop setting.
Your Master Data Management and Data Governance self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:
- The Self-Assessment Dashboard; with the Master Data Management and Data Governance Self-Assessment and Scorecard you will develop a clear picture of which Master 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 Master 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
The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Master Data Management and Data Governance projects with the implementation resources:
- Step-by-step Master Data Management and Data Governance Project Management Form Templates covering Master Data Management and Data Governance project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Audit: Were standards, certifications and evidence required admissible?
- Requirements Management Plan: Will the product release be stable and mature enough to be deployed in the user community?
- Probability and Impact Assessment: Workarounds are determined during which step of risk management?
- Activity Duration Estimates: What is the difference between using brainstorming and the Delphi technique for risk identification?
- Activity Duration Estimates: What are the ways to create and distribute Master Data Management and Data Governance project performance information?
- Team Performance Assessment: To what degree do team members understand one anothers roles and skills?
- Source Selection Criteria: What evidence should be provided regarding proposal evaluations?
- Team Member Performance Assessment: To what degree does the teams approach to its work allow for modification and improvement over time?
- Activity Duration Estimates: What is the difference between % Complete and % work?
- Requirements Management Plan: Controlling Master Data Management and Data Governance project requirements involves monitoring the status of the Master Data Management and Data Governance project requirements and managing changes to the requirements. Who is responsible for monitoring and tracking the Master Data Management and Data Governance project requirements?
Step-by-step and complete Master Data Management and Data Governance Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Master Data Management and Data Governance project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Master 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 Master 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 Master 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 Master 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 Master Data Management and Data Governance project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Master Data Management and Data Governance project with this in-depth Master Data Management and Data Governance Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Master 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 Master 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 Master Data Management and Data Governance investments work better.
This Master Data Management and Data Governance All-Inclusive Toolkit enables You to be that person.