Data Dictionary Toolkit

(No reviews yet) Write a Review
Downloadable Resources, Instant Access

Data management sap master data creation/maintenance; create/document data processes; data analysis and data profiling; quality and integrity data benchmarking; document/maintain data dictionary; communication and interaction with multiple levels of your organization.

More Uses of the Data Dictionary Toolkit:

  • Ensure you spearhead; build data catalog, data dictionary and make data searchable for your stakeholders and users.

  • Head: data research and analysis in support of creating, advising and reviewing enterprise data models and data dictionary.

  • Investigate issues holistically to assess the requirements impacting the data model and data dictionary.

  • Oversee: work closely with Product Owners, Portfolio Leaders and Developers to create and maintain data dictionary and data alignment.

  • Secure that your organization develops data model to support new applications; normalize data; develop and implement physical database design; maintain data dictionary for applications in cooperation with Database Administrators.

  • Arrange that your organization develops relational data models, dimensional data models, data dictionary and metadata.

  • Be certain that your organization defines and maintains data dictionary (terminology, valid data, and values (metadata)).

  • Maintain for managing responsibility of the administration of data governance and quality software, maintaining a corporate data dictionary, ensuring data quality standards are met.

  • Maintain a data dictionary for distribution and preservation asset types.

  • Be accountable for the development of the business data dictionary across identified functions.

  • Be accountable for building and maintaining the data dictionary/catalog, data review and other sustainment processes.

  • Maintain database schemas and data descriptions in Data Dictionary.

  • Ensure that the account has a functional data dictionary and supporting documented policies/processes associated with maintaining data integrity/confidence and a data governance program.

  • Evaluate: design conceptual, logical and physical data models, maintain data dictionary and capture metadata.

  • Use specific database management software, file organization and data dictionary, and its operating environment.

  • Develop database objects, data dictionary and ensure the quality and integrity of the databases.

  • Direct: design and implement data dictionary, data infrastructure, model development platform, analytical tools and systems.

  • Formulate: work closely with Product Owner, Portfolio Leaders and developers to create and maintain data dictionary and data alignment.

  • Be accountable for designing conceptual, logical and physical data models and maintaining data dictionary and capturing metadata.

  • Initiate: work closely with data stewards, data governance and developers to create and maintain data dictionary and data lineage.

  • Audit: proactively participate and help to lead the team and coach other development teams in it to enforce standards in all development initiatives involving data modeling, data quality, data dictionary consistency for all data elements and meta data management.

  • Develop: work closely with data experts to build and maintain kpi data dictionary, metadata, data standards, and ensure adherence to the plans analytics method and data standards.

  • Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders.

  • Ensure you guide; aid the IT department in building a data dictionary for ease of use when building reports.


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

STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data Dictionary 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 995 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 Dictionary improvements can be made.

Examples; 10 of the 995 standard requirements:

  1. What descriptive or other metadata schema or standards are currently being used in the creation, maintenance, use and preservation of the recordkeeping system or environment being studied?

  2. What descriptive or other metadata schema or standard are currently being used in the creation, maintenance, use and preservation of the recordkeeping system or environment being studied?

  3. Is there a data dictionary, including the name of the data source, the name of the applicable field, the field type, the field length, the valid values, for the data to be loaded?

  4. What is the strategy for executing a complete backup of raw data and metadata (including audit trail) directly to a server by a method that preserves content and meaning?

  5. Does the system save metadata in archival storage along with content objects, as well as keeping a working copy to support repository operations?

  6. Has the system software incorporated validated checks to ensure the completeness of data and metadata acquired through automated data capture?

  7. Does it concern only data obtained from the data subjects or does it also cover analytical data or metadata created by the data controller?

  8. Is there any way to reuse parts of the taxonomy term store, and allow departments to customize beyond a certain sublevel in the hierarchy?

  9. Why local scope applications should suffer the penalty of external server communications in charge of managing either data or metadata?

  10. How will integration competency centers and metadata issues affect the success of application integration and Web services strategies?

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 Dictionary book in PDF containing 995 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Data Dictionary Project Management Form Templates covering over 1500 Data Dictionary project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Planning Process Group: What is the critical path for this Data Dictionary project, and what is the duration of the critical path?

  2. Project Schedule: Is there a Schedule Management Plan that establishes the criteria and activities for developing, monitoring and controlling the Data Dictionary project schedule?

  3. Stakeholder Register: What opportunities exist to provide communications?

  4. Change Request: What are the basic mechanics of the Change Advisory Board (CAB)?

  5. Team Member Performance Assessment: To what degree does the teams approach to its work allow for modification and improvement over time?

  6. Procurement Audit: Are lease-purchase agreements drawn and processed in accordance with law and regulation?

  7. Probability and Impact Matrix: What action would you take to the identified risks in the Data Dictionary project?

  8. Activity Attributes: Are the required resources available or need to be acquired?

  9. Quality Management Plan: How does your organization ensure the quality, reliability, and user-friendliness of its hardware and software?

  10. Scope Management Plan: Is there an on-going process in place to monitor Data Dictionary project risks?

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

1.0 Initiating Process Group:

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

2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Data Dictionary 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 Dictionary 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 Dictionary investments work better.

This Data Dictionary 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.