Prior to MIT CISR, Barbara was a tenured faculty member at the University of Virginia's (UVA) McIntire School of Commerce where she taught courses in data management, business analytics, and IT strategy at the undergraduate, graduate, and executive education levels. She is a two-time recipient of the UVA All-University Teaching Award (2002, 2010), which recognizes professors’ teaching excellence, particularly those who inspire and motivate students. This honor is especially meaningful to Barbara because she earned her undergraduate degree at the University of Virginia.
Since the mid-90’s, Barbara has deeply explored data warehousing, business intelligence, business analytics, and big data. Her research ranges from large-scale surveys to in-depth case studies. Four of her cases have placed in the Society for Information Management Paper Awards competition: First American Corporation (1999), Owens and Minor (2000), Continental Airlines (2004), and Sprint (2008). Barbara is a leading academic scholar, publishing in such journals as Information Systems Research; MIS Quarterly; MIS Quarterly Executive; and Journal of MIS. She has presented her work at national and international conferences to various academic and business audiences.
Wixom maintains close ties with practice. She serves as associate editor of the Business Intelligence Journal, research fellow of The Data Warehousing Institute (TDWI), and best practice judge for the TDWI annual BI Best Practices Awards. She presents annually for the Society for Information Management’s Advanced Practices Council. Wixom works closely with a variety of organizations through her leadership with the Business Intelligence Congress, an annual global forum of business and academic thought leaders who inform universities how they can best prepare the next generation BI/BA/Big Data workforce to meet market needs.
Wixom is the author of two leading systems analysis and design textbooks, published by John Wiley & Sons.
"No standard method or accounting procedure exists for doing so and the worth of a data point depends on factors such as its age and accuracy," said Barbara Wixom.
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