Work in a Team Environment on data standardization, Data Management, Data Governance, data sharing, Data Stewardship, and Data Architecture initiatives.
More Uses of the Data Stewardship Toolkit:
- Arrange that your organization as the lead Data Steward, partner with the Data Stewardship community to drive Data Quality and Data integrity initiatives.
- Govern: policy compliance, Data Stewardship operations, Data Quality audits.
- Standardize Enterprise Data Governance (Data Stewardship) advise customer data domain.
- Manage the ethical implications of data and analytics through Data Stewardship measures.
- Devise: Data Stewardship track Data Quality; improve upon existing data extraction techniques; identify and mitigate potential Data integrity issues.
- Drive: Data Stewardship Regulatory Requirements and industry best practices.
- Assure your organization is accountable for the ongoing Data Stewardship across end to end processes after the initial implementation of Data Governance Processes And Systems.
- Confirm your organization helps develop Data Stewardship policies and kpis to be vetted by the data office.
- Ensure you overhaul; lead Data Stewardship efforts across source systems.
- Secure that your organization supports the Data Stewardship community for Data Management analysis and Problem Management activities.
- Assure your organization maintains Data integrity and Data Processing efficiency by working to eliminate redundancy and applying best practice Data Stewardship techniques.
- Govern: Data Stewardship, governance, management and quality.
- Direct: Data Governance, Data Stewardship, Data Quality, master Data Management, data cataloging and business rule management.
- Lead your organizations Data Strategy and Data Stewardship to facilitate interoperability of systems for Business Intelligence analytics.
- Head: Data Modelling, Data Integration, Data Validation, match and merge rules and Data Stewardship.
- Manage: central Data Governance function, Data Stewardship programs.
- Ensure your organization coordinates and leads Data Stewardship meetings to drive data standards and policies.
- Assure your organization advocates for Data Quality and increases awareness of Data Stewardship and Data Governance concepts among data producers and consumers.
- Manage advanced Data Management, Quality Assurance and Data Stewardship.
- Amplify Enterprise Data Governance (Data Stewardship) advise Customer Data Domain.
- Direct: Data Stewardship, ownership and Quality Management principles.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Stewardship Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Stewardship 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 Stewardship specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data Stewardship 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 584 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 Stewardship improvements can be made.
Examples; 10 of the 584 standard requirements:
- How could the efforts to develop and diffuse interoperability standards and policy relate to existing Standards Development Organizations to ensure maximum coordination and participation?
- It raises issues of stewardship of highly valued data - for example, what data should be saved, how does one save it, and how does one maintain an important Data Collection?
- Have Data Stewards (e.g.,Program Managers) responsible for coordinating Data Governance activities been identified and assigned to each specific domain of activity?
- Where an analytical driven data use or AI design has potential impacts on individuals, are the risks and benefits explicitly defined (significance and likelihood)?
- Does the assessment and review process ascertain whether all parties concerns are assessed and appropriately addressed as part of the data-system lifecycle?
- Are there effective systems that provide appropriate opportunities for feedback, relevant explanations, and appeal options for the individuals impacted?
- Is there an ongoing systematic process to ascertain whether analytic models are tested for consistency with organizational values and principles?
- How do you convince the executive team to invest (and to continue investing) in Data Governance & stewardship as an essential business function?
- Are there other legal, cross-border, policy, contractual, industry or other obligations linked to the collection, analysis and use(s) of data?
- Is there is any user role or other vehicle that can be utilized to distinguish an access by in internal user from an external disclosure?
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 Stewardship book in PDF containing 584 requirements, which criteria correspond to the criteria in...
Your Data Stewardship 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 Stewardship Self-Assessment and Scorecard you will develop a clear picture of which Data Stewardship 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 Stewardship 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 Stewardship projects with the 62 implementation resources:
- 62 step-by-step Data Stewardship Project Management Form Templates covering over 1500 Data Stewardship project requirements and success criteria:
Examples; 10 of the check box criteria:
- Schedule Management Plan: Are Data Stewardship project leaders committed to this Data Stewardship project full time?
- Activity Duration Estimates: Are tools and techniques defined for gathering, integrating and distributing Data Stewardship project outputs?
- Assumption and Constraint Log: Diagrams and tables are included to account for complex concepts and increase overall readability?
- Executing Process Group: How could stakeholders negatively impact your Data Stewardship project?
- Probability and Impact Matrix: Can the risk be avoided by choosing a different alternative?
- Schedule Management Plan: Were Data Stewardship project team members involved in detailed estimating and scheduling?
- Schedule Management Plan: Does the Resource Management plan include a personnel development plan?
- Initiating Process Group: Which Six Sigma dmaic phase focuses on why and how defects and errors occur?
- Procurement Management Plan: Are meeting objectives identified for each meeting?
- Procurement Audit: Did you consider and evaluate alternatives, like bundling needs with other departments or grouping supplies in separate lots with different characteristics?
1.0 Initiating Process Group:
2.0 Planning Process Group:
- 2.1 Data Stewardship 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 Stewardship 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 Stewardship 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 Stewardship 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 Stewardship project or Phase Close-Out
- 5.4 Lessons Learned
In using the Toolkit you will be better able to:
- Diagnose Data Stewardship 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 Stewardship 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 Stewardship investments work better.
This Data Stewardship 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.