Data Governance Toolkit

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Provide visibility to Data Quality issues and work with the business owners to fix the issues Implement an Enterprise Data Governance model and actively promote the concept of data standardization, integration, fusion and quality.

More Uses of the Data Governance Toolkit:

  • Develop and maintain scorecards and dashboards to objectively demonstrate progress and business benefits of Data Governance, Security and Privacy compliance initiatives.

  • Supervise: implement Data Governance policies, Procedures And Standards for data at an enterprise level and provide guidance for data owners and stewards at the domain level.

  • Evaluate: partner with Data Governance teams to support operational activities related to Data Management as Metadata capture, Data Quality, Data Security, Data lineage, data inventory.

  • Engage with enterprise Data Management operations to coordinate and execute Enterprise Data Governance processes, Procedures And Standards during Master Data management, Data Quality and Content Management activities.

  • Manage work with client to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.

  • Evaluate and anticipate the impact of technical solutions on environments; identify Key Performance Indicators to quantify systems performance and deployment deliverables.

  • Methodize: through all the activities, Data Governance and privacy domain experts ensure that customers understand the unique business value that informatica solutions provide by achieving tangible business outcomes.

  • Manage work with internal and external stakeholders to develop project charters, Implementation Plans, budgets and resource plans to deliver system and process enhancements.

  • Standardize: work closely with business owners, product owners, and related applications to ensure requirements are interpreted correctly in detailed Design Specifications and in the Data Integration implementations.

  • Collaborate with team leads to identify opportunities for data intake improvements, recommend system modifications, and provide input into policies for Data Governance.

  • Develop Data Governance, Policies and Procedures to ensure Data integrity and compliance with corporate, SOX and other regulatory, audit and compliance standards and controls.

  • Provide advice on various projects and initiatives to ensure that any data related changes and dependencies are identified, communicated and managed to ensure adherence with the Data Governance established standards.

  • Be accountable for mapping artifacts to a Data Architecture framework and managing data/message requirements in an Enterprise Application Integration environment for Middleware layer.

  • Oversee the development and implementation of a Data Governance framework that establishes standard Data Management policies, standards, processes, and compliance.

  • Orchestrate: for Continuous Improvement of Data Governance standards and processes based upon leading practices, evolving Industry Trends, expanding operational capabilities etc.

  • Ensure you endeavor; build DataOps (data operations) and data catalog capabilities to improve Data Governance, access, integration, curation, quality and preparation for analytics consumption.

  • Ensure you present; lead and manage Master Data management and Data Governance projects through all phases of the project lifecycle from planning, blueprint planning, Requirements Gathering, design, development, testing, and go live.

  • Assure your team maintains key relationships with entity staff and IT to proactively identify Continuous Improvement opportunities for enhanced productivity and operational efficiencies.

  • Provide guidance on the creation and best practices around Data Governance, Data Stewardship and overall Data Quality initiatives and processes, as part of the overall data effort.

  • Establish that your organization provides support to the governance team with the design, development and implementation of the Data Governance framework, policy, standards, procedures and corresponding operations.

  • Govern: advocate for Master Data Governance and associated processes as communication and workflow to ensure Master Data is optimized to support Business Requirements.

  • Ensure you cooperate; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.

  • Be accountable for collaborating with programmers, engineers, and organizational leaders to identify opportunities for Process Improvements, recommend system modifications, and develop policies for Data Governance.

  • Ensure you run; lead efforts to design, develop and implement databases enhancement to improve efficiency and streamline the use for analytics, Business Analysis and Data Governance.

  • Establish that your group develops and maintains inventory of the enterprise information maps and facilitates the development and implementation of data Quality Standards, Data Protection standards and adoption of data definition standards.

  • Oversee: work involve establishing and managing organization wide Information Governance strategy; designing and implementing data sharing and reporting strategies that align to your organizations goals and objectives.

  • Be accountable for using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and Predictive Analytics efforts.

  • Ensure that database solutions meet Business Requirements and goals, fulfill end user requirements, and identify and resolve issues (execution of a plan that turns an idea into a solution).

  • Be certain that your corporation complies; awareness of Data Governance practices, business and technology issues related to management of enterprise information assets and approaches related to Data Protection.

  • Audit: design, oversee and standardize Data Structures for Data Governance across multiple brands, systems, operating units, in alignment with your long term ERP Strategy.

 

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


STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. What system do you use for gathering Data Governance information?

  2. How can skill-level changes improve Data Governance?

  3. Is the scope clearly documented?

  4. Do you have a flow diagram of what happens?

  5. Is a Data Governance breakthrough on the horizon?

  6. Are you using a Design Thinking approach and integrating Innovation, Data Governance Experience, and Brand Value?

  7. What sort of initial information to gather?

  8. What is measured? Why?

  9. What relationships among Data Governance trends do you perceive?

  10. What information qualified as important?


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

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

  • 62 step-by-step Data Governance Project Management Form Templates covering over 1500 Data Governance 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 Governance project issues be unconditionally tracked through the Issue Resolution process?

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

1.0 Initiating Process Group:


2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Data Governance 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 Governance 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 Governance investments work better.

This Data Governance 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.