Data Anonymization Toolkit

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

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Data Anonymization 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 990 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 Anonymization improvements can be made.

Examples; 10 of the 990 standard requirements:


1. Are there statistical practices that could be used to protect privacy while still supporting data usefulness, like aggregation, anonymization, or production of statistical properties?
   
   

2. What data is necessary throughout the lifetime of the processing can the same outcome be achieved by minimising or anonymising the data at a later stage in the process?
   
   

3. What privacy preserving techniques as data anonymization, obfuscation, and differential privacy do you rely upon, and what are the various advantages and limitations?
   
   

4. Do your analytic tools enable the seamless integration of data governance polices, while allowing for sensitive personal information to be anonymized and protected?
   
   

5. What are your policies regarding disclosure of information, anonymity of data, privacy protection, or other issues that could affect your organizations liability?
   
   

6. Are there systems in place to ensure the compilation of anonymous incident data so that any trends and protection issues can be identified and addressed?
   
   

7. Is information collected and truly aggregated anonymously for statistics less intrusive than data collected to profile your habits and target marketing?
   
   

8. Does anonymization of data become more difficult as multiple data sources are aggregated, potentially leading to reidentification of an individual?
   
   

9. Does the platform reminds the developers, if the application developed on top of the platform can effectively use anonymous routing mechanism?
   
   

10. Does the replication of data necessary to support most anonymization capabilities preclude the implementation from a resource perspective?
    
    


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 Anonymization book in PDF containing 990 requirements, which criteria correspond to the criteria in...


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


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


Examples; 10 of the check box criteria:


1. Risk Management Plan: Is there additional information that would make you more confident about your analysis?
   
   

2. Team Member Performance Assessment: How are performance measures and associated incentives developed?
   
   

3. Requirements Management Plan: Which hardware or software, related to, or as outcome of the Data Anonymization project is new to your organization?
   
   

4. Team Member Status Report: Are the attitudes of staff regarding Data Anonymization project work improving?
   
   

5. Stakeholder Management Plan: Is Data Anonymization project status reviewed with the steering and executive teams at appropriate intervals?
   
   

6. Stakeholder Analysis Matrix: How to measure the achievement of the Development Objective?
   
   

7. Procurement Management Plan: Is the steering committee active in Data Anonymization project oversight?
   
   

8. Cost Management Plan: Contingency – how will cost contingency be administered?
   
   

9. Procurement Audit: Has it been determined which areas of procurement the audit should cover?
   
   

10. Quality Management Plan: Contradictory information between document sections?


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

1.0 Initiating Process Group:


• 1.1 Data Anonymization project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


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

In using the Toolkit you will be better able to:


• Diagnose Data Anonymization 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 Anonymization 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 Anonymization investments work better.

This Data Anonymization 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.