DAMAPDX March Chapter Meeting

Presented by: Dr. Bob Nisbet, Predictive Analytics Certificate Program, University of California

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.

Registration (RSVP Required)

Register at: http://damapdx.org/index.php?option=com_seminar.

• Free for chapter members or employees of corporate members. • $15 for Non-Members • $5 for Students with valid student ID

• Costs help cover refreshments and speaker travel costs • See damapdx.org for the list of Corporate Members

Speaker

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). 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.

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join us, the rest of the DAMA board, and other fellow lovers of data at this regular chapter meeting in downtown Portland.