Data Maturity Toolkit

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

Organize Data Maturity: design documentation, software requirements definition; create Test Plans and test reports; present design concepts, radar performance, tradeoff studies, and algorithms to team members, management and customers.

More Uses of the Data Maturity Toolkit:

  • Be accountable for the review and tracking of Data Maturity across the enterprise, providing expert support and organization for the implementation of the data Policies And Standards.

  • Establish that your organization conducts Network Monitoring, Intrusion Detection and Data Leakage analysis using various tools as Intrusion Detection/Prevention Systems (IDS/IPS), Firewalls, SIEM, NAC, Vulnerability Management tools, and DLP monitoring, etc.

  • Arrange that your organization identifies opportunities for Process Improvement in Data Collection, Data Analysis, Business Processes, and enterprise engagement with reporting.

  • Manage work with cross functional teams to enable data insights though Data Lifecycle.

  • Create Security Engineering Data Flow designs supporting all aspect of Information Assurance and Information security (InfoSec).

  • Ensure you increase; lead strategic initiatives with a customer centric, data informed approach in partnership with Product Marketing, Design, Data Science, Engineering and Research.

  • Make sure that your planning develops best practice SOPs for effective management of inventories, planning, master Data Management, planning systems logic and ongoing Supply Planning team development.

  • Formulate Data Maturity: design and develop scalable data ingestion framework to transform a wide variety of datasets.

  • Direct Data Maturity: implement security measures across your organizations IT infrastructure, and ensuring your data and network is effectively protected.

  • Ensure your team follows up with suppliers concerning order status and delivery, and communicates delivery information to impacted departments.

  • Support and improve current Data Quality standards.

  • Oversee Data Maturity: interdisciplinary by promoting professional and interpersonal connections and integration across functional disciplines.

  • Make sure that your organization protects your programs and customer data from outside infiltration (Data Breach) through encryption, secure Data Storage and other necessary means; ensuring information remain protected and confidential.

  • Head Data Maturity: data, analytics and AI are central to how work and you have invested heavily in your data pipeline, your Machine Learning and your insight capabilities.

  • Lead Data Maturity: from virtualized telecommunications networks, Big Data and Internet Of Things to mobile Financial Services, billing and Operational Support Systems, you are continually evolving your business to help you become more connected.

  • Be accountable for bringing structure to ambiguous problems and deriving insights from data and information.

  • Develop Reporting And Analytics dashboards into data systems to enhance Operational Efficiency and organizational feedback to provide metrics for Key Performance Indicators (KPIs).

  • Assure your strategy complies; this involve needs assessment and workflow analysis, data development, Business Process migration, analysis/map production and training users on geospatial concepts, software, and Data Collection.

  • Be accountable for ensuring that data centric activities are aligned with the CDO program and leverage applicable Data Standards, governance processes, and overall best practices.

  • Drive Continuous Improvement and platform optimizations by staying up to date on latest releases and possible opportunities for expansion; maintain system and Data integrity by defining and implementing best practices for upgrades, performance and scalability.

  • Pilot Data Maturity: implement business and IT Data requirements through new Data Strategies and designs across all data platforms (relational, dimensional, and nosql) and data tools (reporting, visualization, analytics, and Machine Learning).

  • Manage work with internal personalization and Data Science Teams to identify new segmentation and measurement opportunities.

  • Develop Data Maturity: partner with team members to ensure data is protected from internal and external unauthorized access, modification, or disclosure.

  • Oversee that your organization, develops and implements Data Collection systems and other strategies that optimize statistical efficiency and Data Quality.

  • Drive creation of policies, standards, guidelines and procedures that Mitigate Risk and optimize performance in order to ensure data is available, responsive, and achieving business outcomes and objectives.

  • Be accountable for understanding modern Data Warehouse capabilities and technologies as real time, Cloud and Big Data.

  • Guide Data Maturity: insight analyzing provides advanced analysis of data from a variety of raw data sources, to deliver actionable and valuable insights for your clients.

  • Meet with business users throughout your organization to understand Business Objectives, Technical Challenges and data needs, and develop a plan to solve problems.

  • Methodize Data Maturity: partner with technical leads, Product Managers, Data Engineers, Data Scientists, designers, and other Software Engineers to reduce toil and manual friction through strategic automation.

  • Champion solutions focused campaigns through your robust Inbound And Outbound marketing channels, using data to prioritize and feeding back results and learnings to the business for continuous prioritization.

  • Make sure that your operation executes critical and mission critical software Systems Analysis throughout the life cycle from initial requirements through design, implementation, testing, delivery, and support.

  • Maintain and update the Configuration Management model and develop a Configuration Management framework, plan, SOPs, and related processes and present to the government for approval.


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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. How many trainings, in total, are needed?

  2. How do you spread information?

  3. Who are the Data Maturity decision makers?

  4. What is the scope of Data Maturity?

  5. How do you deal with Data Maturity risk?

  6. What is the magnitude of the improvements?

  7. Are the units of measure consistent?

  8. If there were zero limitations, what would you do differently?

  9. What kind of analytics data will be gathered?

  10. What happens if you do not have enough funding?

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 Maturity book in PDF containing 994 requirements, which criteria correspond to the criteria in...

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

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

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 Data Maturity project issues be unconditionally tracked through the Issue Resolution process?

  4. Closing Process Group: Did the Data Maturity project team have enough people to execute the Data Maturity 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 Data Maturity 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 Data Maturity Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Data Maturity 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 Maturity 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 Maturity investments work better.

This Data Maturity 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.