Data Classification Toolkit

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Ensure your organization identifies resources needed to provide services, forecasts expenses to provide the services, recommends the annual cost of providing the services, and monitors expenditures throughout the year in order to recommend and maintain department budget.

More Uses of the Data Classification Toolkit:

  • Secure that your group oversees breach management processes and policies, information controls, secure Communications, information rights, Data Classification and post breach remediation and security.

  • Be accountable for identifying and addressing client needs by building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, and resolving potential conflicts as a leader.

  • Develop standards and practices for data encryption and Tokenization in your organization, based on your organizations Data Classification criteria.

  • Drive: consistently and regularly emphasize and evangelize the importance of proper Data Classification, Data Protection, Data Privacy and the business confidentiality of the Information Management process.

  • Ensure you understand the scope, derive estimates, schedule, allocate work, manage tasks/projects, present status updates to IT and business leaders and be compliant with internal and regulatory standards.

  • Create, design, and execute high quality reusable Test Scripts and Test Plans for Quality Assurance and User Acceptance Testing to ensure that business requirements are met.

  • Provide skill to apply privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication).

  • Warrant that your design complies; engagements range from identifying high value assets to developing Data Classification schemes, standards and guidelines and implementing processes and technologies to provide leading Data Protection capabilities.

  • Confirm you negotiate; lead business units to identify critical data and ensure appropriate Data Classification and protection standards are implemented.

  • Provide ongoing feedback for Risk Management, mitigation, and prevention and represent Disaster Recovery cost requirements for networking in the annual budgeting process.

  • Follow up with customers and users to ensure complete resolution of issues/record problem and resolution through Help Desk software.

  • Be accountable for managing Business Development opportunities and/or engagements from pre sale and initial scoping through final delivery and sign off.

  • Control: implement system privacy measures in accordance with established procedures to ensure confidentiality, integrity, availability, authentication, and non repudiation.

  • Ensure that privacy enabled products or other compensating privacy control technologies reduce identified risk to an acceptable level.

  • Supervise: technical/professional expertise is demonstrated through Problem Solving, applying professional judgment, and competent performance.

  • Be accountable for designing and implementing models for Data Classification and mapping based on regulatory and business requirements to provide requisite dashboards and reporting.

  • Create and maintain a practice Strategy through your organization Strategic Planning process that is complementary to your organizational Strategy.

  • Be accountable for managing teams developing and implementing Data Protection solutions and capabilities that are clearly aligned to business, technology and threat drivers.

  • Organize: regularly evaluate Data Classification policies ensuring that data is properly classified and that said data is properly organized, secured through Access Controls, properly audited, and encrypted if applicable.

  • Be accountable for leading Project Planning, engagement administration, Budget Management, and the successful completion of engagement work streams.

  • Head: Computer Applications, Computer Engineering, computer and Information Science, information Cybersecurity, information technology, management Information Systems.

  • Be accountable for finding efficiencies in the performed tasks, automating, and identifying areas of improvement to integrate consideration of Privacy Risk into all workflows.

  • Develop and maintain best practices for deploying web and service based applications in Windows/Linux environments using containers.


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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 995 standard requirements:

  1. What current mechanisms ensure the data and Information Governance program remains relevant and sufficient in light of your organizations rapidly changing use of data and Data Analysis tools?

  2. What are the measures that can be considered in order to address the potential issues arising from cross border flow of information and jurisdictional challenges in the digital ecosystem?

  3. How do technologies like e-mail archiving, Records management, classification, WORM storage and eDiscovery tools come together in a unified solution to address Compliance Requirements?

  4. How do you accelerate the induction of Supply Chain management concepts proven for decades in capital investment and Industrial Engineering into Data Science and Data Management?

  5. What systems are currently in place for capturing information in your organization (paper filing, classification scheme, local area network, databases, email and other records)?

  6. What is the trigger event that changes the status of the data and results in a change of requirements or a change of classification (and can result in a change of placement)?

  7. Can an information model be created that captures the superset of all the classes/attributes/relationships required by the full range of methods engines under consideration?

  8. Who should determine the appropriate classification of accounting ledger data located on a database server and maintained by a database administrator in the IT department?

  9. What is the process if a certified supplier plans to utilize a Third Party or Manufacturers Representative to input or manage data on behalf within Item Data Management?

  10. Is the it department maintaining current knowledge of changing Data Breach, Information security and Information Privacy laws, rules, directives, standards and guidance?

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

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

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

Examples; 10 of the check box criteria:

  1. WBS Dictionary: Are all elements of indirect expense identified to overhead cost budgets of Data Classification projections?

  2. Team Performance Assessment: If you are worried about method variance before you collect data, what sort of design elements might you include to reduce or eliminate the threat of method variance?

  3. Activity Duration Estimates: What are the typical challenges Data Classification Project Teams face during each of the five process groups?

  4. Stakeholder Management Plan: Do Data Classification Project Teams & team members report on status / activities / progress?

  5. Earned Value Status: Where is evidence-based earned value in your organization reported?

  6. Variance Analysis: Are authorized changes being incorporated in a timely manner?

  7. Procurement Audit: Is the issuance of purchase orders scheduled so that orders are not issued daily?

  8. Variance Analysis: Are the actual costs used for variance analysis reconcilable with data from the Accounting System?

  9. Variance Analysis: How are material, labor, and overhead variances calculated and recorded?

  10. Scope Management Plan: Has Stakeholder Analysis been conducted, assessing influence on the Data Classification project and authority levels?

Step-by-step and complete Data Classification 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 Data Classification 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 Classification 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 Classification project with this in-depth Data Classification Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Classification 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 Classification 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 Classification investments work better.

This Data Classification 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.