A course for those serious about data quality
Based on the book: Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd Edition (Elsevier/Academic Press, 2021) by Danette McGilvray
Why This Course
We live in a data‐dependent world. We MUST have data and information to survive. And the better the quality of the data, the better we can make decisions and take effective actions for the sake of our societies, families, ourselves as individuals, and our organizations. The need for high‐quality, trustworthy data in our data‐dependent world will not go away. This course provides not just what should be done, but how to address the problems of poor‐quality data.
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, Danette McGilvray, and her book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd
Edition (Elsevier/Academic Press, 2021).
What You Will Learn
After attending the Ten Steps to Data Quality course, attendees will: Have the background needed to conduct their own data quality project using the Ten Steps methodology ‐ a proven approach for creating, improving, sustaining, and managing data and information quality within any organization
Through presentation, group and individual exercises, and a course project, attendees will learn how to:
The Data and Information Quality Challenge
Key Concepts – A necessary foundation for understanding information quality
Step‐by‐Step: The Ten Steps™ Process
Step 1 – Determine Business Needs and Approach
Step 2 – Analyze Information Environment
Step 3 – Assess Data Quality
Step 4 – Assess Business Impact
Step 5 – Identify Root Causes
Step 6 – Develop Improvement Plans
Step 7 – Prevent Future Data Errors
Step 8 – Correct Current Data Errors
Step 9 – Monitor Controls
Step 10 – Communicate, Manage, and Engage People Throughout
Along with the course materials, attendees will receive a copy of the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Edition, by Danette McGilvray.
The book includes numerous templates, examples, and practical advice for applying the Ten Steps methodology with an easy‐to‐use format that is designed for finding what you need quickly and easily. This will be an excellent reference for future projects and situations they encounter.
“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.”
Who This Course is For
Individual contributors and team members responsible for or interested in the quality of data in their business processes, systems or databases. This includes roles such as:
This class has also proven helpful for:
Danette McGilvray is president and principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success and enhance the value of their information assets 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 ensuring information quality management is naturally incorporated into the business.
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 on organizational challenges based on real‐life experience. Critically, communication and the human aspect of information quality and governance are also emphasized.
Granite Falls takes a mentoring approach to engagements, providing clients with the knowledge to carry on their projects and programs once their work together is completed. They promote the intentional management of information assets with the same rigor used to manage other company assets such as products and human and financial resources. Data quality or governance are never done just for the sake of quality or governance – they are always tied to an organization’s critical business needs (related to customers, products, services, strategies, goals, issues, or opportunities).
Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, (Morgan Kaufmann Publishers, 2008 and 2021), 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 Chineselanguage edition is available.
See more about Granite Falls and Danette at http://www.gfalls.com
If you can not participate this course, you can send someone else instead of you. If cancellation is done less than 14 days before the course start, we will charge 50% of the price. In case of no show without any cancellation, we will charge the whole price. Cancellation fee will also be charged in case of illness.