Physical Data Model Toolkit

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Understand and translate the Technical Design from the Data Architecture team into implemented Physical Data Models that meet Data Governance, Enterprise Architecture and Business Requirements for Data Warehousing and Data Access layer.

More Uses of the Physical Data Model Toolkit:

  • Develop a conceptual Data Model, logical Data Model, and Physical Data Model and support application Development Teams with database queries, troubleshooting, and optimization.

  • Develop logical, Physical Data Model and configure Data Model provided by the MDM Software Vendor.

  • Optimize and update logical and Physical Data Models to support new and existing projects and ensurE Business users are working in a clean safe data environment.

  • Develop Physical Data Model and Data Migration/conversion strategies for internally hosted applications.

  • Coordinate: implement Data Strategies, build Data Flows and develop and maintain conceptual, logical, and Physical Data Models to established standards.

  • Confirm your business creates and review data designs to ensure that conceptual, logical, and Physical Data Models are consistent with architecture.

  • Gather Data Requirements to create and maintain entity relationship models and logical and Physical Data Models that conform to existing standards and conventions.

  • Ensure you meet; lead design and development of logical and Physical Data Models to support Business Requirements.

  • Ensure you lead; lead and drive the design of conceptual, logical, and Physical Data Models to support transactional and analytical systems.

  • Ensure you oversee; build, maintain, optimize and update logical and Physical Data Models along with corresponding Metadata to support new and existing projects.

  • Identify: design logical and Physical Data Model using relevant Business Intelligence Tools to standardize data sources for visualization and reporting.

  • Develop: design conceptual, logical and Physical Data Models, maintain Data Dictionary and capture Metadata.

  • Identify differences between logical and Physical Data Models and between disparate physical models.

  • Create conceptual models, logical models, and Physical Data Models for transactional and Data Warehouse systems.

  • Establish that your organization develops and recommends Architecture Framework based on the logical and Physical Data Model for operational stores, Data Marts, and Content Management stores.

  • Establish that your organization creates and maintains accurate, complete and consistent governed conceptual, logical and Physical Data Models with lineage and implementation traceability Metadata.

  • Organize: design logical and Physical Data Models to drive Applications Architecture while considering infrastructure capability and limitations, and operating time.

  • Arrange that your planning performs logical and Physical Data Modeling, designs relational database models, and creates Physical Data Models from logical Data Models.

  • Ensure you magnify; understand thE Business requirements and provide architecture by creating Logical and Physical Data Model.

  • Create, manage, and modify logical and Physical Data Models using a variety of Data Modeling philosophies and techniques.

  • Create and review Physical Data Models, coordinating Data Security restraints and actively supporting Test Plans/environments, benchmarks and statistics.

  • Create logical and Physical Data Models using Best Practices to ensure high Data Quality and reduced redundancy.

  • Drive the design of conceptual, logical, and Physical Data Models to support transactional and analytical systems.

  • Be accountable for creating conceptual, logical and Physical Data Model designs, data extract/transform/load processes, Reporting And Analytics.

  • Analyze enterprise and application logical and Physical Data Models and associated Business Rules.

  • Develop and maintain logical and Physical Data Models using Best Practices and organization standards to ensure high Data Quality, reduced Data Redundancy, and good query performance.

  • Develop conceptual, logical and Physical Data Models to support Data Analysis and Business Intelligence.


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

STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Physical Data Model 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 Physical Data Model improvements can be made.

Examples; 10 of the 999 standard requirements:

  1. What creative shifts do you need to take?

  2. How do you implement and manage your Work Processes to ensure that they meet design requirements?

  3. What causes extra work or rework?

  4. At what point will vulnerability assessments be performed once Physical Data Model is put into production (e.g., ongoing Risk Management after implementation)?

  5. What are the Physical Data Model use cases?

  6. What potential environmental factors impact the Physical Data Model effort?

  7. What are your most important goals for the strategic Physical Data Model objectives?

  8. What are the Physical Data Model design outputs?

  9. How do you measure risk?

  10. What trouble can you get into?

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 Physical Data Model book in PDF containing 994 requirements, which criteria correspond to the criteria in...

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

Examples; 10 of the check box criteria:

  1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?

  2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?

  3. Project Scope Statement: Will all Physical Data Model project issues be unconditionally tracked through the Issue Resolution process?

  4. Closing Process Group: Did the Physical Data Model Project Team have enough people to execute the Physical Data Model Project Plan?

  5. Source Selection Criteria: What are the guidelines regarding award without considerations?

  6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Physical Data Model Project Plan (variances)?

  7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?

  8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?

  9. Procurement Audit: Was a formal review of tenders received undertaken?

  10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?

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

1.0 Initiating Process Group:

2.0 Planning Process Group:

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 Physical Data Model 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 Physical Data Model project or Phase Close-Out
  • 5.4 Lessons Learned



With this Three Step process you will have all the tools you need for any Physical Data Model project with this in-depth Physical Data Model Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Physical Data Model 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 Physical Data Model 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 Physical Data Model investments work better.

This Physical Data Model 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.