Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business
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Analytics Summit 2017

Real World Impact of Business Analytics

May 19, 2017, 8:00 AM - 4:30 PM Sharonville Convention Center, Cincinnati, OH.

This year the Summit will feature three keynote speakers

In addition to the keynote speakers, fifteen companies will be presenting in five all-day tracks focusing on Advances in Analytics, Data Visualization, Predictive Analytics, Machine Learning, and a special "Bonus Track".  Each track will have three presenters.


#UCAnalytics17

Brian Christian Analytics Summit Keynote

Keynote 1  9:15 AM - 10:15 AM  Title: Algorithms to Live By: The Computer Science of Human Decisions

Abstract: Many of the decisions we face in our everyday lives run deeply parallel to some of the canonical problems in computer science and operations research. Brian Christian will discuss both how we can leverage insights from these fields to develop better intuitions in our own thinking, as well as how our human values and principles might translate into an era of increasingly automated decision-making.

Brian Christian

Brian is the co-author of Algorithms to Live By: The Computer Science of Human Decisions, a #1 Audible bestseller, Amazon best science book of the year and MIT Technology Review best book of the year.  He also is the author of The Most Human Human which was named a Wall Street Journal bestseller and a New Yorker favorite book of the year.

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Neil Hornsby Analytics Summit Keynote 2

Keynote 2  12:40 - 1:40 PM  Title:  PFF Player Grades ....the story of why not all data sets are created equal

Abstract: "How the appropriate data set is invaluable in producing meaningful player grades at an NFL level."

Neil Hornsby: Pro Football Focus

Neil Hornsby founded Pro Football Focus (PFF) in 2006 and developed a patent pending grading methodology to objectively assess and rank individual player performance. Neil is responsible for partnerships with 27 NFL teams and many College football programs as well as major media networks. He is constantly developing new insights into the game and player performance to help teams win more football games.

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Analytics Summit Keynote 3 Stephan Chase

Keynote 3: 3:00 -4:00 PM  Title:  Consumer Analytics in an Ambiguous World

Abstract:  Despite dizzying advances being made across many forms of analytics, the election of 2016 offered political analysts a lesson in humility. Stephan Chase explains the challenges posed by consumer analytics and offers, by way of a critique of industry’s obsession with Millennials, guideposts for employing consumer analytics to inform corporate strategy.

Stephan Chase: Chase Intel

A former VP of Consumer Analytics at Marriott International, Stephan is a strategic and analytical leader with a proven track record in driving short and long-term revenue through the creation and application of customer-focused analytics.

ADVANCES IN ANALYTICS TRACK

Track Chair:  Franz Dill, Partner, PKL Knowledge Partners LLC

Advanced Analytics Track  Roden Erret

10:35-11:25: Democratization of Data: Making Analytics Accessible To Empower The World

Abstract: How to leverage Microsoft Bot Services, Cognitive Services, and Machine Learning to make analytics available to the everyone regardless of their technical skills.

Pete Roden, Cloud Solution Architect, Microsoft
Pete Roden is an Azure Solution Architect for Microsoft working side-by-side with strategic enterprise customers helping them leverage Azure to design and implement cloud-scale solution. His focus areas include Application development, Bot and Cognitive Services, as well as IoT for large-scale applications.

Jason Errett, Cloud Solution Architect, Microsoft
Jason Errett is an Azure Data Solution Architect for Microsoft focused on Big Data, Machine Learning Studio, and IoT analytics.  He is one of only 6 architects in Ohio who are assigned to work hand-and-hand with the largest enterprise customers to deliver real-world cloud computing solutions.  Prior to Microsoft, Jason worked for the UD Research Institute’s Sensor Systems Division leading Geospatial Analysis

Adances in Analytics Track  Bin Yang

11:35 - 12:25 : G.E., the 125 Year-Old Software Start-Up

Abstract: GE is bringing the Industrial Internet to life by connecting minds and machines. We combine decades of experience building innovative industrial machines with cutting-edge data science and analytics expertise.

Bin Yang, Director of Data and Analytics, G.E. Digital
Bin Yang is the Director of Data & Analytics at GE Digital CoreTech – responsible for providing GE with extended data, analytic, and insight into its IT infrastructure. Bin joined GE’s Edison Engineering Program, and started his career as a systems engineer focusing on the networking of aircraft sub-systems. Subsequently, Bin joined GE’s Corporate Audit Staff leadership program, where he was involved with wide range of GE’s IT transformation projects ranging from cyber security, IT infrastructure, and IT audit. His work in IT data investigation was featured in The Wall Street Journal.

Analytics Summit Advanced Analytics Dill Rapien

1:45 - 2:35: A Challenge for the Future of Analytics

Abstract:  A story of how practitioners of analytics evolved from using statistics and stopwatches to advanced analytics methods to make processes Better, Faster and Cheaper.   And along the way discovered that more and better data would lead to augmenting the decision making capability of every Executive, Employee and Customer.  We then look forward to further to the future of  linking people and their need to produce value. 

Dave Rapien Assistant Professor University of Cincinnati
In 1995, David graduated Summa Cum Laude with a triple major in Quantitative Analysis, Marketing, and Management from the University of Cincinnati’s College of Business with a Bachelor’s Degree. A year later, in 1996, he earned a Masters of Business from UC with a focus in Quantitative Analysis. Currently, David is an Assistant Professor-Educator in the Lindner College of Business, in addition to his role as the Information Systems Undergraduate Program Director.

Franz Dill, Partner, PKL Knowledge Partners LLC
Now an independent consultant.   Retired Advanced technology and modeling practitioner for Procter & Gamble.  Scouted, engaged and developed retail technology processes for innovation centers. Pioneered the use of artificial intelligence, data mining, supply chain analysis and mathematical modeling techniques, leading to the saving of millions of dollars for the company with methods still in use today.  Acted as a competitive intelligence analyst for information technologies.  Early implementer of social technology applications.  Known for solving wicked problems.   Conceived of and delivered the most-read blog at P&G.

DATA VISUALIZATION TRACK

Track Chair: Jeffrey Shaffer, Vice President of Information Technology and Analytics at Recovery Decision Science

Jeff Shaffer Analytics Summit Data Visualization

10:35 - 11:25: Dashboards for Insight and Impact

Abstract: Dashboards for Insights and Impact: A well-designed dashboard can point out risks, opportunities, and more; but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. As one of the co-author of The Big Book of Dashboards, Jeff will discuss some of the key concepts from his book that will help you produce great dashboards that inform, enlighten, and engage.

Jeff Shaffer:  Vice President of Information Technology and Analytics at Recovery Decision Science and Unifund, Adjunct Professor at University of Cincinnati
Jeff teaches Data Visualization at the University of Cincinnati where he was the 2016 Outstanding Adjunct Professor of the Year. He is the co-author of The Big Book of Dashboards and a regular speaker on the topic of data visualization, data mining, and Tableau training at conferences, symposiums, workshops, universities, and corporate training programs. He is one of twenty-seven Tableau Zen Masters in the world and the winner of the 2014 Tableau Quantified Self Visualization Contest which led him to compete in the 2014 Tableau Iron Viz Contest. His data visualization blog DataPlusScience.com was on the shortlist award for the 2016 Kantar Information is Beautiful Awards for Data Visualization websites.

Ryan Sleeper Analytics Summit Data Visualization

11:35 - 12:25: Tablueprints - A Strategic Framework for Data Visualization

Abstract: Ryan is here to share his "tablueprints"; his process for visualizing data with Tableau. During the presentation, Ryan will discuss a strategic framework for data visualization, tangible data storytelling tips, and the behind the scenes making of one of his visualizations. Ryan will take us beyond the usual web posts and videos to give us a firm understanding for finding and sharing valuable insights in data using Tableau.

Ryan Sleeper, Principal, Ryan Sleeper LLC
Ryan is an independent data visualization designer, author, speaker, trainer, and consultant specializing in Tableau. He is a 2016/17 Tableau Zen Master, 2013 Tableau Iron Viz Champion, author of the 2015 Tableau Public Visualization of the Year, and author of Practical Tableau (O'Reilly 2016).

Analytics Summit Data Visualization Chundi

1:45 - 2:35:  Healthcare Transformation: A Data Visualization Approach

Abstract: Interactive dashboards and data visualization techniques can aid in improving healthcare outcomes and with process standardization. We will share visualization approaches using tableau, excel, Qlik Sense and  web tools that illustrate the power of a visual communication of descriptive and predictive analytics.

Pavan Chundi, Sr. Analyst, Cincinnati Children’s Hospital Medical Center
Pavan is a Senior Data Analyst at the James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center. He graduated from University of Cincinnati with a Master’s Degree in Business Analytics and also holds a Master’s degree in Biomedical Engineering from University of Surrey, England. His areas of interests are Healthcare Analytics, Healthcare Outcomes and Quality Improvement, Data Visualization and Business Intelligence.

MACHINE LEARNING TRACK

Track Chair: Steve Honkomp, Sr. Product Supply Business Intelligence Analyst, Procter & Gamble

Analytics Summit Machine Learning Wujek

10:35 - 11:25: Machine Learning in Practice: Keeping it Real

Abstract: Remember when it was all about “big data”? Now that people have come to grips with this reality and it has become the understood norm, the “machine learning” wave has rolled in as a solution for extracting value from all of that data. High-level messages and creative marketing often leave people with little understanding of what’s behind it, but realizing they should be doing something. This presentation will take you a few steps deeper into the machine learning domain, providing an overview of the common algorithms and techniques used, and addressing concerns with using these techniques in practical business applications.

Brett Wujek, Senior Data Scientist, SAS Institue Inc
Brett is a Senior Data Scientist with the R&D team in the SAS Advanced Analytics division.  He helps evangelize and guide the direction of advanced analytics development at SAS, particularly in the areas of machine learning and data mining.  Prior to joining SAS, Brett led the development of process integration and design exploration technologies at Dassault Systemes, helping to architect and implement industry-leading computer-aided optimization software for product design applications. His formal background is in design optimization methodologies, helping establish the Design Automation Lab at the University of Notre Dame, where he received his PhD for his work developing efficient algorithms for multidisciplinary design optimization.

Analytics Summit Machine Learning Noble Meiser

11:35 - 12:25: Machine Learning at Kroger Co.

Abstract: Machine learning has paved the way for operational success at the Kroger Co.  In this presentation, we show examples of the use of machine learning at the Kroger Co., the challenges that were faced, and the path to success. 

Gregory Noble, R&D Operations Research Inventory Solutions Team Lead, Kroger Co.
Greg serves Kroger Co. as the R&D Operations Research Inventory Solutions Team Lead.  He utilizes various prediction, optimization, and simulation techniques to creatively and innovatively solve problems within the company.  Greg earned a bachelor’s and master’s degree in Industrial and Systems Engineering and a Ph.D. in Engineering from Wright State University.  He joined the Kroger R&D Operations Research team in 2013. 

Doug Meiser, General Manager of R&D Operations Research, Kroger Co. Doug Meiser leads the Operations Research team within the Research & Development team of Kroger Technology.  Doug earned a bachelor’s degree in Mathematics and Physics and an MBA from Northern Kentucky University.  He spent three years in Supply Chain Systems before transitioning to the Research & Development team to develop his current team, which focuses on advanced analytical techniques, including stochastic optimization, discrete event simulation, forecasting, data mining, and advanced statistical analysis.  Doug was inducted into the 2013 class of Franz Edelman Laureates for world-class applications in Operations Research

Analytics Summit Machine Laerning Bastani Namavari

1:45 - 2:35: Visualizing High Dimensional Data using Embeddings in TensorFlow

Abstract: In this talk we provide an overview of a machine learning algorithm called t-sne for visualizing high dimensional data using embeddings. We further propose a framework to effectively apply t-sne to high dimensional data such as images. The proposed framework is based on an integration of deep leaning and t-sne. We further discuss and present some used cases on how TensorFlow (an open source software library for machine learning developed by the Google brain) can facilitate interactive visualization and analysis of high dimensional data using the proposed framework.

Hamed Namavari, Data Scientist, Recovery Decision Science
Hamed has been with the Analytics Team at Recovery Decision Science (RDS) as Data Scientist since 2012. He has MA in Applied Economics and MS in Business Analytics from University of Cincinnati where he is currently an Econ PhD candidate. His research interests are focused primarily on Bayesian Inference in Spatiotemporal Econometrics.

Kaveh Bastani, Data Scientist, Recovery Decision Science
Kaveh is a data scientist in Recovery Decision Science, OH. He received his PhD in Industrial and Systems Engineering from Virginia Tech in 2016. His current research interests are predictive modeling, risk analysis, and text mining with applications to financial services. His previous research works included sparse learning, and Bayesian modeling with applications to real-time monitoring and fault diagnosis in manufacturing and service systems. His research have appeared in high-quality journals including IIE-Transactions, Decision Support Systems, IEEE Transactions on Human-Machine Systems, and IEEE Transactions on Automation Science and Engineering.

PREDICTIVE ANALYTICS TRACK

Track Chair: Kevin Kelley, Divisional Sr. Vice President, Predictive Analytics, Great American Insurance Group

Analytics Summit Predictive Analytics Kelley McQueen

10:35 - 11:25: Various Uses of Predictive Analytics Throughout Great American

Abstract: Insurance has been involved in Predictive Analytics for more than two decades, with the start being credit scoring for personal lines underwriting and pricing.  But you now seeing it finding its way into other parts of the business.  The presentation will cover applications in claims, underwriting and also financial analysis.

Kevin Kelley, ACAS, Divisional Sr. Vice President, Predictive Analytics, Great American Insurance Group
Kevin has over 35 years of experience in the insurance industry.  Kevin started at Great American in the Actuarial Department.   After a decade of that, he spent nearly 20 years in product management; at the end of that, he had product responsibility for all the standard commercial lines.  He returned to Great American in 2009, and he worked several of the programs within Alternative Markets.  In 2014, Kevin was given opportunity to lead the Predictive Analytics department at Great American. Kevin became an Associate in the Casualty Actuarial Society in 1990. He graduated from the University of Cincinnati with a B.A. in Mathematics.

Crystal McQueen, Predictive Analytics Data Manager, Great American Insurance Group
Crystal is the Predictive Analytics Data Manager within Great American Insurance Group’s Property & Casualty Operations. Ms. McQueen began her career in the consumer analytics space prior to joining Great American in 2013. In her current role, Ms. McQueen has responsibilities for data analytics and implementation within Predictive Analytics. Ms. McQueen earned both a BS in Mathematics and a MS in Statistics from the University of Memphis.

Analytics Summit Predictive Analytics Liberty Holt

11:35 - 12:25: Successes, Challenges and the Future of Operationalizing Predictive Models in Healthcare

Abstract: Predictive analytics within healthcare systems are becoming more prevalent but operationalizing the models is far and above the most important and challenging part of this work.  This discussion will focus on the current use and future plans of predictive analytics at TriHealth and some of the lessons learned from operationalizing predictive models.  Additionally, in parallel to the ongoing efforts there are a lot of areas of exploration including evaluating build vs. buy options, Hadoop and big data, IBM Watson for natural language processing and cognitive AI with the ultimate goal of moving from a predictive space to prescriptive analytics.

Liberty Holt, MSBA, Manager of Predictive Analytics, TriHealth
Liberty is the Manager of Predictive Analytics for the Advanced Analytics team at TriHealth in Cincinnati, Ohio.  Her team develops predictive models that partner with clinical and operations leaders to improve patient-centered outcomes and drive clinical engagement across the care continuum.  Liberty has eleven years of healthcare experience and has previously served as a data scientist and in management and analyst roles in various areas of the healthcare system.  Liberty holds an MS in Business Analytics and a BS in Mechanical Engineering from the University of Cincinnati.

Analytics Summit Predictive Analytics Macys

1:40 - 2:30: Macy’s: A Data Driven Approach to Store Space Optimization in a Network-Oriented Retailer

Abstract:   Macy’s Inc., one of the nation’s premier retailers, operates more than 700 department stores under the nameplates Macy’s and Bloomingdale’s, and approximately 125 specialty stores that include Bloomingdale’s The Outlet, Bluemercury and Macy’s Backstage.  While the company’s physical footprint makes it an ideal candidate for statistical analysis, stores segmentation and space optimization have not been assessed statistically in the past.  Instead, strategic planning guidance on performance expectations has relied mostly on comparisons against overall (rather than family of business specific) stores performance benchmarks as well as the institutional knowledge of the practitioners derived from past case studies experience.  Hear how the Macy’s Strategic Planning and Analytics Department in partnership with the University of Cincinnati’s Research Institute is changing all that by creating models to ensure store space is allocated in the most productive and efficient way. 

Peri Georgiades, Director Strategic Planning & Analytics, Macy's
As a Director of Strategic Planning and Analytics, Peri and his team help the Macy’s Stores Organization evaluate and optimize space allocation by family of business across the stores portfolio.  Peri holds an MBA Degree in Finance from Xavier University’s Williams College of Business, a Master’s Degree in Planning from University of Cincinnati’s DAAP College and a Bachelor’s Degree in Economics, Political Science and Public Administration from University of Athens, Greece.

Yichen Qin, Assistant Professor, University of Cincinnati
Yichen is an assistant professor in the Department of Operations, Business Analytics, and Information Systems in the Lindner College of Business at the University of Cincinnati. He earned his Ph.D. degree in Applied Mathematics and Statistics from the Johns Hopkins University in 2013.  His research interests include robust statistics, computational statistics, and business analytics.

Xiaojun (Mark) Wang, Graduate Student (Master’s in Business Analytics), University of Cincinnati
Mark is currently an MSBA graduate student at UC.  He is at a crossroads of a career path transition from a mathematician to a data scientist.  With strong background in both theoretical and applied mathematics, he is eagerly looking for challenging and fun problems to solve.  Mark also holds a Ph.D. Degree in Mathematics from Virginia Tech University.

Hui Wang, Graduate Student (Master’s in Business Analytics), University of Cincinnati
Hui is currently an MSBA graduate student at UC.  She holds a Ph.D. Degree in Neuroscience from the University of Maryland and a B.S. Degree in Biotechnology from Tongji University in Shanghai, China.  Hui is a recipient of the Graduate Incentive Award from University of Cincinnati in 2016, and the Outstanding Student in MSBA Award from the University of Cincinnati’s Lindner College of Business in 2017.

BONUS TRACK (ECOMMERCE, BEER, SPORTS ANALYTICS)

Track Chair: Brian McHale, CEO & Owner, Sunrise Advertising

Analytics Summit Ecommerce Analytics Topken Sreedhar

10:35 - 11:25: Maximizing eCommerce Opportunities with Customer Segmentation

Abstract: The world of eCommerce offers many opportunities to gather customer data. Smart brands use that data to understand who their customers are and what’s important to them. Once you understand a customer and their buying habits, you can tailor the messaging, creative, email, etc. in a way that boosts profit for the brand.  At Sunrise, we use customer data to fuel storytelling and inspire creativity. Come hear how we’ve helped one eCommerce brand get started in customer segmentation and how that has translated into marketing.

Maria Topken, Director of Client Leadership, Sunrise Advertising
A lover of forensic science, Maria truly understands that the smallest clues can help solve the biggest puzzles, which is exactly what she does at Sunrise: solves clients’ communication challenges. She’s a business results deliverer and relationship builder with a talent for mentoring future leaders, and she loves to dig into consumer insights.
Before joining Cincinnati-based Sunrise in May 2015, Maria was SVP/Partner, Client Leadership at Empower MediaMarketing. She also served for four years as Marketing Director at Long John Silver’s, where she oversaw communications for 500+ restaurants. In addition to Long John Silver's, Maria has worked with brands such as Wendy’s, Steak ‘n Shake, Stanley Steemer and LensCrafters.

Anitha Sreedhar, Graduate Assistant and Student (Master’s in Business Analytics)
I received my undergraduate degree in telecommunication engineering in 2014, soon after which I started working as a business analyst at EXL service. I have two years of professional experience in the field of analytics mainly in the banking domain. I am currently a graduate student at the University of Cincinnati majoring in Business Analytics.

Analytics Summit Brewery Analytics MadTree

11:35 - 12:25: Beer, Data, and Rock and Roll - Creating a culture of data-based decision makers.

Abstract: Over the past 4 1/2 years MadTree has grown extremely fast - in terms of volume production, employee growth, and facility upgrades. With the opening of the new facility, dubbed "MadTree 2.0", production will be nearly 30X that of 2013 and employees will grow close to 100. Due to the fast paced nature of the industry and the growth of MadTree, the two co-founders work tirelessly to create a culture of data-based decision makers to make quick yet well-informed decisions. Admittedly, they still have no idea what the hell they are doing, but they have fun trying.  

Brady Duncan, Co-Founder, MadTree Brewing Company
Brady grew up in Massillon Ohio and graduated from the University of Dayton with a degree in public relations and marketing. At UD he mostly drank cheap beer and is now atoning for his mistakes by consuming copious amounts of good beer. Passionate to discover the beautiful South (or follow his wife's career), he worked in sales for two years before going back to school for his MBA at the University of Alabama. He was recruited to P&G where he worked for 4 years in the analytics space. While in Bama he developed a passion for good beer through his buddy (and investor) Shane. After attending GABF in 2008 the passion turned into obsession and he began homebrewing shortly after. He met Jeff and Kenny in 2009 and the rest is that of folklore

Kenny McNutt, Co-Founder, MadTree Brewing Company
With a Master’s Degree in Engineering from Cornell University and an MBA from Xavier University, Kenny McNutt brings a mix of experience dealing with technical as well as business challenges. Prior to founding MadTree, Kenny managed a team of engineers for a major defense contractor and developed processes for tracking cost and schedule for a $10M+ program. At MadTree, Kenny is known as the man with the financial plan.

Analytics Summit Sports Analytics Gordon Shah

1:40 - 2:30: Improving Athlete Conditioning through Sensor Data

Abstract: St. Xavier High School's Football Team fitted their players with sensors during the 2016 season to monitor performance throughout the season. The school partnered with UC's Center for Business Analytics to understand how to best utilize the wealth of data. Using Analysis of Variance and descriptive analytics, several key insights were mined from the practice sessions and game day across various positions.

Mike Gordon, Head Athletic Trainer, St Xavier High School
Mike has been the Head Athletic Trainer at St. X since 2005 after spending 1 1/2 years at the Lakota School District and Atrium Medical Center. Mike graduated with a B.S. in Health Promotions - Athletic Training in 2004, and has performed internships with the Cincinnati Bengals (under Dr. Robert Heidt Jr. ('69)) and with the Cincinnati Reds (under Carlo Alvarez, former Head Strength Coach at St. X). Mike worked for the NFL as an Athletic Trainer Spotter for Cincinnati Bengals home games, covering both teams for any injuries that occur and communicating with each medical staff.

Dan Shah, Graduate Student (Master’s in Business Analytics), University of Cincinnati
Dan is a recent graduate of the Business Analytics Master’s program at the University of Cincinnati. He has worked at Procter & Gamble as a senior engineer on some of its biggest brands and will be joining the company in June as a data scientist. Dan is a native from Chicago (go Cubs!) and an alumnus of the University of Illinois at Urbana-Champaign, where he graduated with a degree in industrial engineering. He became passionate about data modeling and the important role that data plays in organizations of all sorts during his time as an engineer and pivoted career paths by building his foundation at the University of Cincinnati. The St. Xavier High School project was his first project after starting in the Master’s program, and his most memorable.   

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