I really enjoyed the Data Governance and Information Quality conference that took place in mid June in San Diego. There were many great talks, a highlight was Anthony Algmin who talked about his first 100 days as the new Chief Data Officer at the Chicago Transit Authority. A great keynote was given by Scott Hallworth about the data quality journey at Capital One. Nancy Fessatidis of SAP gave a keynote on an emerging topic that gets a lot of attention these days: the ethics and morality of big data. The panel on controversial issues in data governance had been a great ending of the conference.
During the conference, I gave a half day tutorial on “setting up a data quality risk management program at your organization”, where I could enjoy a very active and interested audience. Going to a lot of data conferences, I can observe a rising level of interest over the years in applying the risk paradigm to data quality, especially from regulated industries like banking and insurance.
I also participated in a very interesting panel discussion on data quality best practices with Michael Scofield, Peter Aiken, David Loshin and John Talburt, in which I have highlighted the role of business outcome focused data quality metrics. You can watch the video of the panel discussion below.