Jon Evans is an Information Strategist, self-confessed data quality geek and the founder of Equillian, an independent UK consultancy practice specialising in Enterprise Information Management.
For the past two decades, he has been helping organisations harness their information and transform it into a strategic business asset. His wealth of experience covers all the key disciplines that help define, manage and exploit enterprise information, from putting in place effective Data Governance to delivering insight through Business Intelligence.
In the field of Data Quality, he contributes expert knowledge and thought-leadership, drawing upon a track record of successfully delivering DQ initiatives to a wide range of organisations.
As a regular speaker and panellist at industry events, Jon enjoys bridging the gap between the business and IT domains, bringing fresh understanding and clarity – the same approach he adopts as a respected Information Management coach and mentor.
DQPVS 1: Through the Looking Glass: An Analytical Approach to Targeting Data Governance
When a global entertainment and media company decided they needed to start taking Data Governance seriously, one question rang out loud and clear – where do we start?
Whilst DG was recognised as an essential capability they needed to develop in order to tame their ever-growing information estate, the initial challenge came from the sheer size, scale and diversity of their business.
- Where were the most serious issues currently being felt?
- What capabilities did they already have that could be leveraged more widely?
- How did Data Governance maturity vary across the business?
This session will explain how these questions were answered by using an innovative approach that brought together techniques from the world of data governance, business intelligence and enterprise architecture.
DQPVS 2: Reaching for the Sky: The Quest for Data Accuracy
Jon Evans, Information Strategist and founder of Equillian provides practical advice for measuring and managing data quality accuracy.
Key topics include:
- What do we mean by data accuracy?
- Techniques to help measure data accuracy
- Understanding why data accuracy is so elusive
- Learning how to improve data accuracy