Her research interests span a number of interesting topics, most notably her acclaimed research, To Explain or Predict, as well as noteworthy research on statistical strategy, bio-surveillance, online auctions, count data models, quality control and more.
In the Analytically Speaking interview, we’ll focus on her most interesting Explain or Predict work as well as her research on Information Quality and Behavioral Big Data, which was the basis of her plenary talk at the Stu Hunter conference earlier this year. I'll also ask about her books and teaching.
Galit has authored and co-authored many books, two of which — just out this year — include some JMP. First is Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, with co-authors, Peter C. Bruce, Nitin R. Patel, and Mia Stephens of JMP. This first edition release coincides with the third edition release of Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, with the first two co-authors listed above. As Michael Rappa says so well in the foreword of the JMP Pro version of the book, “Learning analytics is ultimately about doing things to and with data to generate insights. Mastering one's dexterity with powerful statistical tools is a necessary and critical step in the learning process.”
The second book is Information Quality: The Potential of Data and Analytics to Generate Knowledge, which Galit co-authored with Professor Ron S. Kenett, CEO and founder of KPA and research professor at the University of Turin in Italy (you may recognize Ron and KPA colleagues as guest bloggers on the JMP Blog on the topic of QbD). As David Hand notes in his foreword, the book explains that “the same data may be high quality for one purpose and low quality for another, and that the adequacy of an analysis depends on the data and the goal, as well as depending on other less obvious aspects, such as the accessibility, completeness, and confidentiality of the data.”
Both Ron and Galit will be plenary speakers at Discovery Summit Prague in March. You can download a chapter from their book, which discusses information quality support with JMP and features an add-in for Information Quality, both written by Ian Cox of JMP. You can see a short demo of JMP support for information quality during the Analytically Speaking webcast on Nov. 16.
Whether your analysis is seeking to explain some phenomena and/or to make useful predictions, you will want to hear Galit’s thoughtful perspective on the tensions between these two goals, as well as what Galit has to say on other topics up for discussion. Join us! If Nov. 16 doesn’t suit your schedule, you can always view the archived version when convenient.