Who It's 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:
- Data Analysts
- Data Quality Analysts
- Business Analysts
- Data Designers/Modellers
- Data Stewards
- Business Process Modellers
- Application Developers
- Any data professional impacting the quality of data upon which their business depends
This class has also proven helpful for:
- Managers and project managers of individual contributors and team members.
- Who need to understand what is involved in addressing data quality because they hire resources, assign people’s time, provide support, and remove roadblocks to data quality work
- Users of data
- Whose work has been affected by poor data quality and want to find solutions for those problems, such as data scientists who have found themselves in a position of dealing with poor-quality data before they can start the “real” job for which they were hired
President and Principal
Granite Falls Consulting
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. With a focus on bottom-line results, Granite Falls helps organizations enhance the value of their information assets by connecting their strategy to practical steps for implementation. We also emphasize the importance of communication and human factors affecting the success of their business goals, issues, strategies, and opportunities.
Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd Ed. (2021, Elsevier/Academic Press). An internationally respected expert, her Ten Steps™ approach to information quality has been embraced as a proven method for creating, improving, sustaining, and managing information and data quality in any organization. Her book is used as a textbook in university graduate programs. The Chinese translation of the first edition was the first data quality book available in Chinese.
A skilled facilitator, program and project manager, she has worked with people at all levels of the organization and from most functional areas, giving her a valuable perspective on organizational challenges based on real-life experience. Danette has helped organizations in industries as varied as biotech, pharma, insurance, banking, retail, automotive, financial services, direct selling, utilities, higher education, energy, and water management. Danette is a popular speaker and has taught her highly-rated courses in several countries.
With her holistic approach to data quality, Danette believes that data quality can save the world. She loves to work with organizations that want to increase their data literacy and build expertise in-house. She helps through consulting, training, one-on-one coaching, and executive workshops and presentations. Please contact her at email@example.com, connect with her on LinkedIn, and follow her on Twitter: Danette_McG.
IRM UK Public Course: Ten Steps to Data Quality
“Very informative, lots of ideas and concepts to put into practice. Her knowledge on data is amazing. Keeping us focussed, on track and great at explaining.”
Data Governance Manager, MOD
“Exceeded my expectations. We covered a huge amount, but it never felt overwhelming. I really liked the fact that the approach is flexible – the just enough principle is refreshing. Very clear and friendly. It was a great opportunity to learn from someone who clearly knows her stuff and has a lot of experience.”
Project Manager, Curo
“Course content very relevant to my role and will help me and my team to review and plan going forward. Danette is very knowledgeable about all aspects of data quality.”
Data Quality and Governance Manager, MOD
“Lots of tools and techniques discussed that I am sure I will use. Danette was very engaging and knowledgeable.”
Data Quality Lead, HMRC
“This concept of framework really matches up with our work environment. Danette was very clear explaining the material step by step.”
Ratih Anindita Wardhani
Data Analyst/Assistant Manager, Bank Indonesia
“Danette McGilvray was brilliant. I would definitely recommend this course to colleagues”
Data Management Analyst, PageGroup
“Data and information challenges are well addressed, techniques will be helpful. Clear, excellent in execution and examples”
Data Manager , Danone Research – France
“Danette McGilvray is very inspirational”
Data Quality Analyst , NHS PS, UK
“The course exceeded my expectations!”
Data Manger , Land Registry, UK
“Fantastic course, very informative. Danette was an amazing lecturer.”
Manager, Data Governance , FIS Limited – UK
“The course has helped me put into perspective and break down the areas of data quality that should fall under investigation in any project - the steps methodology ensures you have captured all the areas that affect data quality completely.”
Local Data Steward, Business Systems, HEINEKEN UK Limitedan
“Excellent from a management perspective. A good lecturer. Everything said was clear.”
Application Support, Chevron
“Very easy to follow and apply to the work/challenges that I am going to face. Danette was great at using every day experiences and relating them to data quality. A great presenter who is open to new ideas irrespective of being in Data Quality for over 20 years.”
Data Quality Analyst, Gocompare.com
- 3 days
- £1,295 +VAT (£259) = £1,554
Group Booking Discounts
|6 +||25% discount|
Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 10% administration fee. It is regretted that cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time.
In the unlikely event of cancellation of the seminar for any reason, IRM UK’s liability is limited to the return of the registration fee only. IRM UK will not reimburse delegates for any travel or hotel cancellation fees or penalties. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers, date and venue of the seminar.