key-96233_1920.jpg

Data Governance Training

7 Steps to Effective Data Governance:

An Approach That Works

Success in data governance must include a solid foundation based upon real life experiences that have been proven to work.

This course provides a comprehensive approach for data governance including frameworks  tools, techniques, case studies, and exercises for data governance in a seven step approach that has worked for many data governance programs.


It will cover aspects of data governance including how to:

  • Develop a data governance charter and gain buy in

  • Set up organizational structure, roles and responsibilities

  • Gather data governance requirements

  • Manage issues

  • Define data and rules

  • Develop and track metrics and measurements

  • Define solutions including new processes, standard operating procedures, and policies

In addition to sharing a complete set of tools, techniques as well as case studies about what has worked and not worked, there will be fun and interactive exercises where participants can practice scenarios that commonly arise in data governance and apply the techniques, tools, and principles learned in this class.

 

Who Should Attend

Data stewards, data governance program office professions, data analysts, and any other data governance professionals who need to be involved in the data governance efforts

Course Outline 

Data governance overview

 

  • The what, why and how of data governance

  • A 7 step approach to data governance

  • Hands-on and interactive exercise illustrating the real keys


Setting up the program

 

  • Setting up the charter 

    • Establishing scope and priorities

    • Setting up the mission, vision and goals

    • Setting up the team and roles

    • Key principles

    • Communications plans

    • How to approach the program

    • Exercise

Establishing Roles 

 

  • Organizational structure, roles, and responsibilities 

    • Types of DG organizational structures

    • Key Roles and responsibilities in data governance

    • Exercise

Listening to the Real Needs for Data Governance in Your Organization

 

  • Gathering requirements for data governance 

    • Objectives, data, rules, processes, metrics, and priorities

    • Approaches for gathering requirements

Managing Data Governance Issues

 

  • Identifying and managing issues 

    • Types of data governance issues

    • Approaches to managing issues

    • Standard types of data to collect

    • Standard process steps in issues management

    • Exercise


Defining Data and Rules

 

  • Defining data and rules 

    • How to set up domains and subdomains

    • How to inventory data elements for domain(s)

    • How to define data

    • How to document various types of rules for data

    • Exercise

Metrics, Measurements and Commitment

 

  • Developing and tracking Metrics and Measurements 

    • Defining metrics

    • Measuring results

    • Data profiling

    • Exercise


Defining solutions

  • Developing recommendations/solutions 

    • How to create solutions as resolutions to issues

    • Changes to Data

    • Developing Policies

    • Developing Processes/Procedures

    • Exercise

       

        Wrap up
 

  • Summary

  • How to apply the materials learned in this class to your organization