Save time, empower your teams and effectively upgrade your processes with access to this practical Data management Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data management 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 management specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data management 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 767 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 improvements can be made.
Examples; 10 of the 767 standard requirements:
- What does the ‘should be’ process map/design look like?
- Is there a standardized process?
- How do we know that any Data management analysis is complete and comprehensive?
- Are the best solutions selected?
- Who controls the risk?
- In the past year, what have you done (or could you have done) to increase the accurate perception of this company/brand as ethical and honest?
- The approach of traditional Data management works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves. what approach will permit us to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?
- In the case of a Data management project, the criteria for the audit derive from implementation objectives. an audit of a Data management project involves assessing whether the recommendations outlined for implementation have been met. Can we track that any Data management project is implemented as planned, and is it working?
- How to Improve?
- Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?
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 book in PDF containing 767 requirements, which criteria correspond to the criteria in…
Your Data management 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 management Self-Assessment and Scorecard you will develop a clear picture of which Data management 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 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 management projects with the 62 implementation resources:
- 62 step-by-step Data management Project Management Form Templates covering over 6000 Data management project requirements and success criteria:
Examples; 10 of the check box criteria:
- Stakeholder Management Plan: How is information analyzed, and what specific pieces of data would be of interest to the Data management project manager?
- Schedule Management Plan: Are internal Data management project status meetings held at reasonable intervals?
- Stakeholder Management Plan: Are staff skills known and available for each task?
- Roles and Responsibilities: Once the responsibilities are defined for the Data management project, have the deliverables, roles and responsibilities been clearly communicated to every participant?
- Quality Management Plan: How will you know that a change is actually an improvement?
- Human Resource Management Plan: Are there checklists created to determine if all quality processes are followed?
- Decision Log: At what point in time does loss become unacceptable?
- Human Resource Management Plan: Are Data management project team roles and responsibilities identified and documented?
- Responsibility Assignment Matrix: Not any Rs, As, or Cs: If an identified role is only informed, should others be eliminated from the matrix?
- Risk Audit: Is there a screening process that will ensure all participants have the fitness and skills required to safely participate?
Step-by-step and complete Data management Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data management project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data management 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 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 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 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 project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Data management project with this in-depth Data management Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data management 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 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 investments work better.
This Data management 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.