Ten Steps to Quality Data

Two-Day Seminar
Thursday, December 5 and Friday, December 6

Seminar Hours
Thursday, December 5: 8:30AM - 4:15PM
Friday, December 6: 8:30AM - 4:00PM

Led by Danette McGilvray, President and Principal of Granite Falls Consulting, Inc.

Simply put, information quality is providing the correct set of accurate information, at the correct time and place, to the correct people. However, ensuring quality information is far from simple. Whether you are just starting a project or are already in production, it is not unusual to find that data quality issues prevent organizations from realizing the full benefit of their investments in business processes and systems.

Join us to learn the Ten Steps to Quality Data and Trusted Information™ – a practical approach to creating, improving, and managing the quality of information critical to running your business, satisfying customers, and achieving company goals. If you are working on real data quality-related issues that need real results, this is the course for you.   What you learn here applies to all kinds of data and every type of organization – for-profit businesses of all sizes, education, government, healthcare, and nonprofit – because all depend on trusted information to succeed.

Both foundational data quality concepts and practical instruction are included.  Be prepared to participate as this is a highly interactive course. Class discussion and exercises (both individual and with teams) are an integral part of the seminar. In addition, attendees have the opportunity to apply what is learned to a course project, chosen from their real data quality situations and concerns. Come with your particular needs in mind, learn how these topics apply to your situation and leave with realistic methods for improving information quality.

This course is based on the extensive experience of the trainer/author/consultant and the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann Publishers, 2008) by Danette McGilvray. 

Learning Objectives

Attendees will be able to:

  • Turn data quality challenges into actionable projects with clear objectives
  • Connect data quality issues to business priorities
  • Understand concepts that are fundamental to data quality management, such as the Framework for Information Quality, information life cycle, data quality dimensions, business impact techniques, root cause analysis techniques, etc.
  • See how other data management topics such as data governance, data modeling, etc. fit into the process for ensuring high quality data
  • Choose the appropriate steps/activities from the Ten Steps™ process to address business needs
  • Apply many of the steps and techniques to a course project during the seminar
  • Obtain templates and examples to use in the attendees’ own situations

Key topics include:

  • The Framework for Information Quality
  • The Information Life Cycle
  • The Ten Steps™ process
  • Analyzing the information environment
  • Assessing data quality and business impact
  • Conducting root cause analysis
  • Implementing controls
  • Essential communication to meet information quality needs
  • Real-life application of the framework and methodology
Who Should Attend:
  • Individual contributors and team members responsible for or interested in the quality of data in their business processes, systems, or databases.  This includes those in roles such as:
    • Data analysts
    • Data quality analysts
    • Business analysts
    • Data designers/modelers
    • Data stewards
    • Application developers
  • This class has also proven helpful for some managers and project managers as they also need to understand what is involved in data quality. They are the ones who hire and assign people’s time and are called upon to remove roadblocks to data quality work.
Comments from Past Attendees of this Course

 "What an excellent class and instructor. I know I will be using the methodology that was taught in this class. This was the best data quality related class I've attended."

“The class was great and could really help me with some of the challenges that we are currently facing."

“Great course - should be required … as we move toward implementing on-going data quality efforts.”

“Effective class that I will be able to use on my job.”

For the full course agenda click here.

For registration click here.

About the Instructor

Danette McGilvray   Danette McGilvray is president and principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. Focusing on bottom-line results, Granite Falls’ strength is in helping clients connect their business strategy to practical steps for implementation. Data quality and governance are never done just for the sake of quality and governance – they are always tied to an organization’s goals, issues, and opportunities.

Danette is the author of Executing Data Quality Projects:  Ten Steps to Quality Data and Trusted Information™, (Morgan Kaufmann Publishers, 2008), which provides a foundation for her approach to data quality that applies to all types of data and organizations. 

An internationally respected expert, her Ten Steps™ approach to information quality has been embraced as a proven method for managing information and data quality. She has trained Fortune 500 clients and workshop attendees around the world, her book is used as a textbook in university graduate programs, and a Chinese-language edition is available.

A skilled facilitator, program and project manager, Danette has worked with people in all levels of the organization and from all functional areas, giving her a valuable perspective of organizational challenges based on real-life experience. 

Danette is an invited speaker at conferences around the world and received IAIDQ's Distinguished Member Award in recognition of her outstanding contributions to the field of information and data quality.