Presented by Dr. Bob Nisbet
Instructor, Predictive Analytics Certificate Program, University of California, Irvine
The rise of Predictive Analytics in business will generate many opportunities for data managers. The Business Ecosystem has arrived, and Predictive Analytics models are the “windows” into understanding its operational complexity. The Operational Data Store (ODS) is an elaboration of data warehousing design to serve the needs of business data users better (cf. Kent Graziano’s talk). The Analytical Data Mart (ADM) serves an analogous purpose to serve the needs of predictive analytics. Differences between the organization of data in an EDW or ODS and that needed to serve analytics efficiently are discussed. The discussion will include some specific data transforms required by analytical algorithms, and how the “heavy lifting” of their processing can be committed to data mart operations,. An example of the blending of an ODS and an ADM to serve predictive analytics modeling operations in a Santa Barbara bank will be presented.
Dr. Bob Nisbet’s original training was in Botany, with specialties in plant ecology and paleobotany. He taught and conducted research in Botany and Ecology for many years in several colleges and universities, most recently as a Researcher in Forest Growth Modeling at the University of California, Santa Barbara. He led a field investigation in central Ohio to collect plant fossils from Mississippian sediments. He retains his interest in paleobotany to the present. For the last 20 years of his career, Bob was active as a Data Scientist, initially for AT&T, then for NCR Corporation (after the split in 1996). He led the Yield Management analytical team at NCR Corporation which pioneered the design and development of configurable data mining applications for retail sales forecasting, and Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications, Insurance, Banking, Credit, membership organizations (e.g. AAA), and Health Care industries. He is lead author of the award-winning “Handbook of Statistical Analysis & Data Mining Applications” (Academic Press, 2009), and a co-author and general editor of the award-winning “Practical Text Mining” (Academic Press, 2012) and “Practical Predictive Analytics and Decisioning Systems in Medicine” (Academic Press, 2015). In his retirement, he serves as an Instructor in the University of California at Irvine Predictive Analytics Certificate Program, teaching many online and on-campus courses each year in Effective Data Preparation, and co-teaching Introduction to Predictive Analytics. He serves also as a technical advisor of the Predictive Analytics Certificate Program at UC-Irvine, as a Technical Editor of the Practical Predictive Analytics series of books by Cambridge University Press. He serves also on the Conservation Advisory board of the Santa Barbara Botanic Garden, where he provides botanical and analytical services.
March 16, 2017 (Chapter Meetings, 3rd Thursday)
8:30 – 9:00 am – Sign In
9:00 – 10:15 am – Presentation
10:15 – 10:30 am – Break, Chapter Announcements
10:30 – 11:30 am – Presentation continued
Standard Insurance Center in the Atrium room, 900 SW 5th Avenue in Portland. Make sure you go to the Standard Insurance tower on 900 SW 5th Ave as there are two Standard locations in downtown Portland.
The room is located at the top of the south elevator bank (as you enter from the 5th street sidewalk, continue to the right past the elevators and up the escalators, then through the double glass doors into a new window-ed space).
Free for Members!
$15 for Non-Members
$5 for Students with valid student ID
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