Save time, empower your teams and effectively upgrade your processes with access to this practical Data Remediation Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data Remediation 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 Remediation specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data Remediation 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 Remediation improvements can be made.
Examples; 10 of the 990 standard requirements:
- Is your organization looking for ways to reduce the complexity of patch management, device discovery/inventory, software distribution, security enforcement, data migration and image provisioning?
- Is your organization looking for an interface to support data stewardship activity and data remediation as data quality business rules are violated to support data governance?
- How many levels of management exist between the most senior leader of your organization and the person most directly in charge of your information and data quality efforts?
- Is a consistent approach to oversight of outsourced arrangements applied across your organization driven by a clear strategy, risk appetite and robust approval process?
- Do you believe that recommended guidelines can be considered to be best practice to help operators protect data when migrating on to cloud environments?
- Does your organization perform own data extraction to verify that the format is universal and email is capable of being migrated to another provider?
- What corporate strategy, functional objective or key business process can be achieved with poor quality customer, item and supplier data in place?
- How do you cleanse your data and remediate data quality issues, as accuracy, completeness, conformity, integrity, consistency, and duplication?
- Is there historical data demonstrating offsite contamination to non-transportation facility property originating from the source property?
- Is a governance framework is in place and is it focused on the risks and controls along your organizations AI journey, from top to bottom?
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 Remediation book in PDF containing 990 requirements, which criteria correspond to the criteria in...
Your Data Remediation 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 Remediation Self-Assessment and Scorecard you will develop a clear picture of which Data Remediation 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 Remediation 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 Remediation projects with the 62 implementation resources:
- 62 step-by-step Data Remediation Project Management Form Templates covering over 1500 Data Remediation project requirements and success criteria:
Examples; 10 of the check box criteria:
- Stakeholder Register: What opportunities exist to provide communications?
- WBS Dictionary: Identify potential or actual budget-based and time-based schedule variances?
- Activity Duration Estimates: Consider the changes in the job market for information technology workers. How does the job market and current state of the economy affect human resource management?
- Closing Process Group: Did the Data Remediation project team have enough people to execute the Data Remediation project plan?
- Assumption and Constraint Log: Has the approach and development strategy of the Data Remediation project been defined, documented and accepted by the appropriate stakeholders?
- Procurement Audit: Have the funding arrangements been agreed where payments take place over several financial periods?
- Project Portfolio management: Are you working differently with your portfolios at different parts of your organization?
- Stakeholder Management Plan: What is the primary function of the Activity Decomposition Decision Tree?
- Activity Duration Estimates: Is action taken to increase the effectiveness and efficiency of Data Remediation projects?
- Team Member Performance Assessment: To what degree are the skill areas critical to team performance present?
Step-by-step and complete Data Remediation Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Remediation project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Remediation 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 Remediation 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 Remediation 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 Remediation 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 Remediation 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 Remediation project with this in-depth Data Remediation Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Remediation 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 Remediation 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 Remediation investments work better.
This Data Remediation 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.