During this episode, I discuss the 2014 International Data Quality Summit (IDQSummit) with its co-chairs, Joy Medved and Melissa Hildebrand. The 2014 IDQSummit, being held October 6-9 in historic Richmond, Virginia, is the premier international event for exchanging data quality and data governance solutions, offering professional development and networking opportunities, along with new cutting-edge tutorials, presentations and keynotes from a variety of highly experienced speakers.
Joy Medved is the Director of Event Services for the International Association for Information and Data Quality (IAIDQ). As the Managing Director of Paradata Consulting, she enjoys helping international clients develop and improve their Data Governance, Data Quality, Metadata and Training Programs. Joy has spent most of the past 20 years as a business improvement consultant, strategist, coach, researcher, trainer and speaker. She is a certified Six Sigma Black Belt and an Information Quality Certified Professional (IQCP), and always seeks to help her clients “simplify the quest for quality.”
Melissa Hildebrand is the Administrative Director for the Electronic Commerce Code Management Association (ECCMA). In her past 7 years with ECCMA, she has had thorough experience in managing multiple projects, daily operations and numerous events. Since 2009, Melissa has been certified as an ISO 8000 Master Data Quality Manager (MDQM) and manages the training and certification program. She assists in administering the United States Technical Advisory Group to TC 184, SC 4 and SC 5. She is the Editor of the book Managing Blind: A Data Quality and Data Governance Vade Mecum, and was Project Manager for the book Sweet Times: 100 Years of Making Confections Better.
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- Demystifying Data Science — Guest Melinda Thielbar, a Ph.D. Statistician, discusses what a data scientist does and provides a straightforward explanation of key concepts such as signal-to-noise ratio, uncertainty, and correlation.
- Data Quality and Big Data — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality and Big Data, including if data quality matters less in larger data sets, and if statistical outliers represent business insights or data quality issues.
- Gaining a Competitive Advantage with Data — Guest William McKnight discusses some of the practical, hands-on guidance provided by his book Information Management: Strategies for Gaining a Competitive Advantage with Data.
- Doing Data Governance — Guest John Ladley discusses his book How to Design, Deploy and Sustain Data Governance and how to understand the difference and relationship between data governance and enterprise information management.
- Demystifying Master Data Management — Guest John Owens explains the three types of data (Transaction, Domain, Master), the four master data entities (Party, Product, Location, Asset), and the Party-Role Relationship, which is where we find many of the terms commonly used to describe the Party master data entity (e.g., Customer, Supplier, Employee).
- Measuring Data Quality for Ongoing Improvement — Guest Laura Sebastian-Coleman discusses bringing together a better understanding of what is represented in data with the expectations for use in order to improve the overall quality of data.
- The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside, using stories as an analytical tool and change management technique, and why we must never forget that “people are cool.”
- Data Governance Star Wars — Special Guests Rob Karel and Gwen Thomas joined this extended, and Star Wars themed, discussion about how to balance bureaucracy and business agility during the execution of data governance programs.
- Good-Enough Data for Fast-Enough Decisions — Guest Julie Hunt discusses Data Quality and Business Intelligence, including the speed versus quality debate of near-real-time decision making, and the future of predictive analytics.
- The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.
- The Art of Data Matching — Guest Henrik Liliendahl Sørensen discusses data matching concepts and practices, including different match techniques, candidate selection, presentation of match results, and business applications of data matching.