Two-Day
Seminar
Thursday, June 30 and Friday, July 1
Seminar Hours
Thursday, June 30: 8:30AM - 4:30PM
Friday, July 1: 8:30AM - 4:00PM
Course
Outline:
Day 1
Morning
Data governance overview
- Overview of
data governance and a 7 step approach including major areas of 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 and developing a clear, common and compelling vision
- Setting up a
data governance and data quality program
- The real key -
establishing a clear, compelling, and common vision
- Creating a
Darwinian program – How to create a clear, compelling and common vision
- Examples
- Exercise
Afternoon
Establishing Roles
and Understanding Motivations
- DG and DQ
organizational structure, roles, and responsibilities
- The human
factor keys - Sponsorship and motivational modeling
- The
sponsorship and motivational model
- Various
frameworks, tools and techniques for motivating
- Exercise
Listening to the
Real Needs for Data Governance in Your Organization and Effective
Communications
- Gathering
requirements for DG and DQ - Objectives, data, rules, processes, metrics,
and priorities
- The real key -
Effective ways to communicate
- Communications
frameworks and ways to communicate
- Keys in
effective communications
- Exercise
Day 2
Morning
Managing Data
Governance Issues and developing an environment of trust
- Approaches and
tools in identifying and managing issues
- The real key –
how to develop the environment of trust so issues can be shared and openly
communicated
- Core elements
of trust
- Trust
frameworks
- Exercise
Defining Data and
Rules, and Conflict Management
- Overview of
how to establish domains/subdomains and defining data and rules
- The real key -
effectively managing conflict
- A conflict
management framework
- Various
approaches and tools to conflict management
- Exercise
Afternoon
Metrics,
Measurements and Commitment
- Overview on
developing and tracking metrics and measurements
- The real key -
Gaining involvement and commitment
- How to get
involvement
- How to get
commitment
- Exercise
Defining data
governance and data quality solutions and leadership
- Overview on
developing recommendations/solutions, policies, processes, changes to data
- The real key -
Leadership
- Qualities of
leadership
- Taking Risks
and initiative
- Exercise
Wrap up
- Summary
- How to apply
the materials learned in this class to your organization
Who Should Attend
Data stewards, data governance program office professions, data
analysts, and any other data governance and data quality professionals involved
in the data governance efforts.
For registration please click here
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