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

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Data modeling 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 689 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 modeling improvements can be made.

Examples; 10 of the 689 standard requirements:

  1. How much importance needs to be given to metadata modeling during data warehouse development and how can you standardize the metadata model in data warehousing?

  2. Should the person who enters the metadata be the creator herself, or should this be taken care of by the organisation?

  3. Have you enabled distributed systems management; who runs what version when?

  4. How much time did the process take compared to the time it should take?

  5. What if during the job schedule, some unplanned outage happens?

  6. What about the mapping information from source to destination?

  7. How is data transformed, calculated, aggregated, etc.?

  8. Is ontology a buzzword, or a real paradigm shift?

  9. What if the source system is unavailable?

  10. What if the process fails at some step?

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 modeling book in PDF containing 689 requirements, which criteria correspond to the criteria in…

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

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

Examples; 10 of the check box criteria:

  1. Procurement Audit: Do the internal control systems function appropriate?
  2. Stakeholder Analysis Matrix: Guiding question: Who shall you involve in the making of the stakeholder map?
  3. Activity List: When do the individual activities need to start and finish?
  4. WBS Dictionary: Does the contractors system provide unit or lot costs when applicable?
  5. Cost Baseline: Is the requested change request a result of changes in other Data modeling project(s)?
  6. Human Resource Management Plan: Does the detailed Data modeling project plan identify individual responsibilities for the next 4–6 weeks?
  7. WBS Dictionary: Contemplated overhead expenditure for each period based on the best information currently available?
  8. Team Member Performance Assessment: What are the evaluation strategies (e.g., reaction, learning, behavior, results) used. What evaluation results did you have?
  9. Stakeholder Management Plan: Are Data modeling project team members involved in detailed estimating and scheduling?
  10. Responsibility Assignment Matrix: What happens when others get pulled for higher priority Data modeling projects?

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

1.0 Initiating Process Group:

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

2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Data modeling 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 modeling 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 modeling investments work better.

This Data modeling 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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