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Data Governance Training

Comprehensive Data Governance Course: 7 Steps Including
Technical and Behavioral
 
This course may be customized
and may be a 2 or 3 day course


Success in data governance must include a solid technical approach as well as a deep understanding of human factors and tools and techniques for the behavioral, cultural, and human aspects.


This course provides a comprehensive approach for data governance including the technical perspective as well as the behavioral aspect. It will include tools, techniques, case studies, and exercises for both the technical and human side of data governance in a seven-step approach that has worked for many data governance programs.


It will cover technical 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


For each of these areas, the course will share important techniques, tools, and frameworks for success which involved the human aspects of data governance, namely, how to:

 

  • Establish a clear, compelling, and common vision for data governance

  • Maintain sponsorship

  • Gain the trust of people involved

  • Effectively communicate including communications plans and execution

  • Gain true involvement and commitment

  • Exemplify Leadership

  • Effectively resolving conflict.


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 and Schedule
Day 1:

Data governance overview

 

  • The what, why and how of data governance

  • A 7 step approach to data governance

  • The real keys to Data Governance: The human and behavioral aspects

  • Hands-on and interactive exercise illustrating the real keys


Setting up the program

 

  • Setting up the charter (Technical aspect)

    • 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

  • Establishing a clear, compelling, and common vision (Behavioral aspect)

    • Creating a Darwinian program - What is clear, compelling and common

    • Examples

    • Exercise

Establishing Roles and Behavior

 

  • Organizational structure, roles, and responsibilities (Technical)

    • Types of DG organizational structures

    • Key Roles and responsibilities in data governance

  • Sponsorship and motivational modeling (Behavioral)

    • The sponsorship and motivational model

    • Various frameworks, tools and techniques for motivating

    • Exercise

Listening to the Real Needs for Data Governance in Your Organization

 

  • Gathering requirements for data governance (Technical)

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

    • Approaches for gathering requirements

  • Effective ways to communicate (Behavioral)

    • Communications frameworks and ways to communicate

    • Keys in effective communications

    • Exercise

Day 2:

Managing Data Governance Issues

 

  • Identifying and managing issues (Technical)

    • Types of data governance issues

    • Approaches to managing issues

    • Standard types of data to collect

    • Standard process steps in issues management

  • Developing Trust (Behavioral)

    • Core elements of trust

    • Trust frameworks

    • Exercise


Defining Data and Rules

 

  • Defining data and rules (Technical)

    • 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

  • Effectively Managing Conflict (Behavioral)

    • A conflict management framework

    • Various approaches and tools to conflict management

    • Exercise

Metrics, Measurements and Commitment

 

  • Developing and tracking Metrics and Measurements (Technical)

    • Defining metrics

    • Measuring results

    • Data profiling

  • Gaining involvement and commitment (Behavioral)

    • How to get involvement

    • How to get commitment

    • Exercise


Defining solutions

 

  • Developing recommendations/solutions (Technical)

    • How to create solutions as resolutions to issues

    • Changes to Data

    • Developing Policies

    • Developing Processes/Procedures

  • Leadership (Behavioral)

    • Qualities of leadership

    • Taking Risks and initiative

    • Exercise

    • Wrap up

    • Summary

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

CONTACT

Phone: 303.688.1412
Email: info@univdata.com

Universal Data Models, LLC
5537 Sunstone Lane
Castle Rock, CO 80108

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