Event Date

November 6, 2025

Registration

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Session Summary

November 6, 2025

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.

If you are working on business issues where data is a component or have data quality-related issues that need real results, this workshop is for you. Join us for an overview of the Ten Steps methodology – a systematic approach for creating, improving, sustaining, and managing the quality of data and information within any organization.

The material is based on the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021) by Danette McGilvray.

Come with your particular needs in mind, be ready to participate, practice a few of the techniques, and leave with realistic methods for managing data quality. This workshop  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!

Speaker Bio

An internationally respected expert, Danette McGilvray guides leaders and staff as they increase business value through data quality and governance. This data approach benefits focused initiatives (such as security, analytics, digital transformation, artificial intelligence, data science, and compliance) so that high-quality data will support whatever is most important to an organization, protect its data assets, and help manage risk. Granite Falls helps connect business strategy with practical steps for addressing specific data quality/governance issues, implementing programs, and improving operational processes.

As president and principal of Granite Falls Consulting, Inc., Danette is omitted to the appropriate and effective use of technology and also to addressing the human aspect of data management through communication and change management. See www.gfalls.com.

Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted InformationTM, 2nd Ed. (Elsevier/Academic Press, 2021), which shares a proven method used successfully by multiple industries in many countries. Her book is often described as a “classic” or noted as one of the “top ten” data management books in social media conversations. The book is used in university graduate programs and has been translated into Chinese and Japanese. The Spanish translation is currently underway.

Danette is a co-author of “The Leader’s Data Manifesto”, a document used to raise awareness about treating data as a business asset. She has overseen its translation into 24 languages. See www.dataleaders.org