With laser focus, our purpose at the Center, and with our Analytics Summit, is to support the growth, understanding and development of the use of analytics in business, government and non-profit organizations.
CINCINNATI (PRWEB) April 04, 2018
The University of Cincinnati Center for Business Analytics has released details and registration information for its Analytics Summit 2018, marking the seventh straight year the event will be held by the acclaimed Center.
Analytics Summit 2018 will be held May 14th-16th, 2018 at the Sharonville Convention Center in Cincinnati, Ohio. This year’s event will feature three high profile keynote speakers, four technical two-day training sessions, one managerial half-day forum, and five all-day session tracks with three presentations in each. Keynote speakers include: Craig Brabec, Director, Global Insights and Analytics at Ford Motor Company; Bill Franks, Chief Analytics Officer at the International Institute for Analytics; and Cameron Davies, Senior Vice President Analytics and Strategy at NBC Universal.
According to Mr. Glenn Wegryn, UC Center for Business Analytics’ Executive Director, “With laser focus, our purpose at the Center, and with our Analytics Summit, is to support the growth, understanding and development of the use of analytics in business, government and non-profit organizations. We do this with a combination of world class education; hands-on and intensive events like the Summit; and networking with some of the best minds in the industry across a wide range of industries.”
The 3-day Analytics Summit is broken into two training days and one conference day.
Advanced Data Mining – Attendees will get hands on experience on the latest data science
methods and tools in this two-day data mining session led by John Elder, a rock star data miner, in-demand instructor, keynote speaker, author and practitioner with both industry and academic experience. John is passionate about data mining and teaching data science skills and addresses questions with depth of experience and practical examples.
Machine Learning with R – Attendees will learn the latest data science and machine learning methods using R in this two-day training session led by Dr. Brad Boehmke, Director of Data Science at 84.51, and Dr. Brandon Greenwell, Senior Data Scientist for Ascend Innovations and Adjunct Professor of Statistics at Wright State University. Both are outstanding instructors, authors, professors and data scientists. Recent class evaluations rave about their passion and ability to teach data science effectively.
Tableau Training – Attendees to this informative two-day training session will gain the in-demand Tableau skills that enhance data science careers and help them become better at data visualization. Who better to learn from than Zen Master Jeffrey Shaffer, recognized by Tableau for his advanced skills and contributions to the Tableau community and one of the best and brightest instructors you could find anywhere. He practices what he teaches and leads a data science team by day.
Big Data with Hadoop and Spark - Making sense of the tools used to analyze big data can seem confusing and overwhelming at times. Dr. Andrew Harrison and Dr. Jay Shan, University professors and authors, will help attendees understand how these components function and form the core of big data analytics systems. The emphasis of this course will be on understanding the fundamental principles of big data systems using Hadoop and Spark.
Spark allows the processing of huge volumes of data in real-time and is a dominant choice for performing analytics at scale. Similarly, the Hadoop Distributed File System (HDFS) forms the backbone of most big data systems. In this course, participants will learn the theory behind how these tools work, so they can understand when, and how, to implement them effectively. The relative strengths and weaknesses of various big data systems will be highlighted to explain how Spark has emerged as a popular choice for analyzing dynamic, high-velocity, and high-volume data.
Analytics for Leaders (May 15) – Business executives and functional leaders at the Director level and above are invited to attend this informative and non-technical half-day to help navigate how analytics can be effectively applied within an organization. Participants discuss how to improve decision-making in their organizations by better leveraging data and using methods that are appropriate for the problem at hand. It will be held from 1-5 PM EST followed by a reception with Summit speakers, trainers, Center for Business Analytics members and will feature a special presentation by Chris Hjelm, CIO at Kroger.
The session will be facilitated by Mr. Wegryn who boasts over 30 years of global experience in Analytics. He spent 28 years at Procter and Gamble, most notably as the creator and leader of P&G’s award-winning Supply Chain Analytics Group. He is a three-time finalist for the Franz Edelman prize awarded annually by the Institute for Operations Research and the Management Sciences (INFORMS) for advanced analytics applications.
Conference Day will feature high level morning and afternoon keynotes with five analytics track sessions throughout the day.
The morning keynote speaker will be Craig Brabec, Director, Global Insights and Analytics at Ford Motor Company, who will speak to analytic trends in the automotive industry, but also offer a broader perspective on impacts of data governance (or lack thereof) affecting all industries and individuals. A mid-morning keynote will be offered by Bill Franks, Chief Analytics Officer at the International Institute for Analytics. Franks will speak to “Cutting Through the Hype: What You Need To Know About Artificial Intelligence”. Finally, Cameron Davies, Senior VP, Analytics and Strategy, will address “Innovation versus Disruption … How NOT to break your Organization with Analytics".
Session Track #1 on Conference Day is entitled Data Visualization for Business Intelligence. The track chair is Blair Davis from Cincinnati Children’s Hospital, while speakers include Russell Spangler from Amazon; Jeff Shaffer, Unifund & Tableau Zen Master; and Geoff Marsh and Derek Sasthav from Amend Consulting.
Session Track #2 is on Advanced Analytics. The track chair is Peng Wang, Business Analytics Professor at the University of Cincinnati. Speakers will include John Elder from Elder Research; Manjeet Singh and Adrian Kumar from DHL Supply Chain.
Session Track #3 focuses on Sports Analytics. Track chair is Chris Calo from the Cincinnati Reds. Speakers include Greg Myer from Cincinnati Children’s Hospital; Nick Krall VP, Assistant GM for the Cincinnati Reds; and Mitch Tanney from the Denver Broncos.
Session Track #4 will cover Case Studies in Big Data/Analytics. The track chair is Charles Sox, University of Cincinnati Business Analytics Professor. Speakers will include Stuart Stockton from Macy’s; Debbi Young from Centric Consulting & Grant Rowan from WorldPay; and Cheryl Wiebe from Teradata.
Session Track #5 is entitled Analytics Management and Leadership. Track chair is Ginny Walls from Macy’s, while speakers will include David Dittman from Procter and Gamble; Anne Robinson from Verizon; and Sandy Steiger from 84.51.
Analtyics Summit 2018 details and registration information can be found here. Early bird pricing is available until April 15, 2018.
About the University of Cincinnati’s Center for Business Analytics
The UC Center for Business Analytics, a corporate-academic partnership, brings together analytics thought leaders, business organizations, and a world-class multidisciplinary group of MS Business Analytics and Information Systems faculty and students. The Center promotes the use of data-driven analytical methods that improve business, government, and organizational performance. We engage faculty and students to work with Center members and business organizations to develop methods and models for using small and large data sets.
The Center sponsors three annual Analytics Conferences, provides professional development analytics training classes, offers analytical research and consulting services, as well as, onsite corporate analytics training, using actual company data, in any area of data analytics and data management.