Course Description

The first Data Quality Pro Virtual Summit (DQPVS #1) features an outstanding panel of expert authors, speakers, coaches and practitioners within the fields of Data Quality, Data Governance and Master Data Management.

Learn new insights, techniques and methods from some of the world's leading experts on demand from your smartphone, tablet or computer - at home or at work.

  • Learn from some of the world's most experienced authors and practitioners
  • Buy a virtual ticket at any time - the summit runs continuously, 365 days of the year
  • Watch presentations on demand from your computer, tablet or smartphone device at work or at home
  • Lifetime access and 30 day money back guarantee

Expert Practitioners

The presenters for the virtual summit include some of the world's leading authors, experts and practitioners in the fields of Data Quality, Data Governance and Master Data Management.

Course curriculum

  • 1

    Getting Started

    • LIST OF PRESENTERS

    • LIST OF LEARNING MODULES

    • LIST OF ASSIGNMENTS

    • USER GUIDE

    • HELP

  • 2

    Keynote: Getting in Front of Data Quality Management by Tom Redman

    • Presentation: Getting in Front of Data Quality Management by Tom Redman

    • Learning Module

    • Assignment #1: Documenting The Process Management Cycle

    • Assignment #2: Adapt Tom Redman’s analogy of the Data Lake for your own data landscape

    • Assignment #3: Describe the role of the I.T. (Tech) function in your organisation

    • Assignment #4: Review the sentiment of critical data creators and data customers

    • Assignment #5: Learn the Technique of Data Quality Tracking

  • 3

    Aligning Data Quality with the Business in Energy Retail by Mark Humphries

    • Presentation: Aligning Data Quality with the Business in Energy Retail by Mark Humphries

    • Learning Module

    • Assignment #1: Calculating the cost of poor quality data

  • 4

    Applying Data Quality and Confidence in the Environment Agency by Angie Wills and Rebecca Strickland

    • Presentation: Applying Data Quality and Confidence in the Environment Agency by Angie Wills and Rebecca Strickland

  • 5

    Competing with High Quality Data – Building and Executing a Successful Data Quality Approach by Rajesh Jugulum

    • Presentation: Competing with High Quality Data – Building and Executing a Successful Data Quality Approach by Rajesh Jugulum

  • 6

    Data Quality and its Impacts on Decision Making by Christoph Samitsch

    • Presentation: Data Quality and its Impacts on Decision Making by Christoph Samitsch

  • 7

    Data Quality in Emerging Markets by Gary Allemann

    • Presentation: Data Quality in Emerging Markets by Gary Allemann

  • 8

    Data Quality Management on a Shoestring Budget by Dylan Jones

    • Presentation: Data Quality Management on a Shoestring Budget by Dylan Jones

    • Learning Module

    • Assignment #1: Benchmarking data quality management

    • Assignment #2: Creating a Data Quality Service Level Agreement

    • Assignment #3: Getting Started with Data Lineage

    • Assignment #4: Assessing Cultural Awareness

  • 9

    Data Quality Requirements by Laura Sebastian-Coleman

    • Presentation: Data Quality Requirements by Laura Sebastian-Coleman

  • 10

    Data Quality Strategy in a Big Data Analytics World by Alex Borek

    • Presentation: Data Quality Strategy in a Big Data Analytics World by Alex Borek

  • 11

    Destination: Data Town – A (Fun) Path to Better Data Quality by Bill Florio

    • Presentation: Destination: Data Town – A (Fun) Path to Better Data Quality by Bill Florio

  • 12

    Enabling Greater Data Intelligence Through Grass Roots Data Quality Efforts by Don Jenkins

    • Presentation: Enabling Greater Data Intelligence Through Grass Roots Data Quality Efforts by Don Jenkins

  • 13

    It’s What’s Inside That Counts: How Your People Can Lead Your Data Governance by Charles Joseph

    • Presentation: It’s What’s Inside That Counts: How Your People Can Lead Your Data Governance by Charles Joseph

  • 14

    Making Data Quality Metrics Meaningful to Business Sponsors and Stakeholders by James Phare

    • Presentation: Making Data Quality Metrics Meaningful to Business Sponsors and Stakeholders by James Phare

  • 15

    Master Data Management: Defining MDM Maturity with a Continuous Improvement Approach by Mark Allen

    • Presentation: Master Data Management: Defining MDM Maturity with a Continuous Improvement Approach by Mark Allen

  • 16

    Metadata Management as a Key Component to Data Governance, Data Stewardship and Data Quality By Dalton Cervo

    • Presentation: Metadata Management as a Key Component to Data Governance, Data Stewardship and Data Quality By Dalton Cervo

  • 17

    Setting up a Data Quality Risk Management Program at your Organisation by Alex Borek

    • Presentation: Setting up a Data Quality Risk Management Program at your Organisation by Alex Borek

  • 18

    Superb Data Governance is not the Outcome by Lisa Allen and Michael Rose

    • Presentation: Superb Data Governance is not the Outcome by Lisa Allen and Michael Rose

  • 19

    The Three Legged Stool – How Data Privacy Compliance is Supported by Data Governance and Data Quality Practices by Daragh O Brien

    • Presentation: The Three Legged Stool – How Data Privacy Compliance is Supported by Data Governance and Data Quality Practices by Daragh O Brien

  • 20

    Through the Looking Glass: An Analytical Approach to Targeting Data Governance by Jon Evans

    • Presentation: Through the Looking Glass: An Analytical Approach to Targeting Data Governance by Jon Evans

  • 21

    Top Data Governance Mistakes and How to Avoid Them by Nicola Askham

    • Presentation: Top Data Governance Mistakes and How to Avoid Them by Nicola Askham

    • Learning Module

    • Assignment #1: Design the Right Data Governance Definition for your Organisation

    • Assignment #2: Create a Data Governance Maturity Model

  • 22

    Using Lean Principles to Manage the Data Value Chain by Mario Faria

    • Presentation: Using Lean Principles to Manage the Data Value Chain by Mario Faria

  • 23

    Welcome to the Data Zoo! by Julian Schwarzenbach

    • Presentation: Welcome to the Data Zoo! by Julian Schwarzenbach

Pricing options

Explain how different pricing options might be valuable to different segments of your audience.