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

Carl H. Lindner College of Business

Analytics Summit 2016

PAST EVENT

Real World Impact of Business Analytics

May 20, 2016, 8:00 AM - 4:30 PM Sharonville Convention Center, Cincinnati, OH.

This year the Summit will feature two recognized leaders in the field of analytics, Thornton May and Stuart Aitken, CEO of 84.51.

In addition to the keynote speakers, seventeen companies will be presenting in the all-day industry tracks focusing on retail and consumer analytics, healthcare analytics, supply chain analytics,  finance and insurance analytics and a special "bonus" analytics track.  Each track will have three presenters from industry.

 

This event has ended

AS 2016 Presenting Companies

EVENT  SPONSORS

Cloudera
DOMO

 

EXHIBITOR SPONSORS

Tableau
RoundTower

KEYNOTE PRESENTERS

Thornton May Keynote UC Analytics Summit

Big Data, Machine Intelligence and the Future of Work

Abstract: The managing director at a White-Shoe strategic consultancy frequently counsels Global 20 enterprises, “You need a strategy for strategy.” A guest panelist on a Sunday morning political talk show likes to remind viewers, “There is a lot of politics inside politics.” 

As a futurist charged with keeping an eye out for early signals of high impact trends I can safely say that most organizations need to start paying attention to the data about data – specifically how data and analytics surfaces a new division of labor in the modern workplace. In addition to deciding which human does what, executives have to determine which tasks are best conducted by advanced analytics in smart machines/algorithms.

Thornton May:  Author Educator and Futurist, Executive Director at the IT Leadership Academy

Thornton May began his career as an anthropologist, studying tribal behavior in the modern Japanese corporation. Fascinated with the Japanese ability to observe, orient, decide and act (i.e., move data) faster than competitors, he returned to the U.S. and earned his masters of science with a concentration in cognitive science at Carnegie Mellon University. He apprenticed with über-futurist Alvin Toffler, assisting in creating the national digital strategies for Singapore, Korea and Mexico. In each national plan, high-speed data analysis figured prominently.

In his most recent book, “The New Know: Innovation Powered by Analytics” he analyzes what organizations know; how they come to know; and how they act upon that information — or lack thereof. May delivered the inaugural keynote at the first ever Data Science Summit. He designed and delivered the first Big Data webinar in Russia in association with the Skolkovo School of Management.

His writings, reviewed as having “Jeffersonian acoustic power,” have appeared in The Harvard Business Review, The Wall Street Journal, The Financial Times, Computerworld, India Today and the South China Morning Post.

 

Stuart Aiken 84.51 CEO

The Data Revolution

Abstract:  How can the information you collect be beneficial to your customer and your business?  We’ll explore the basic principles of data analysis and how to view information through the customer’s lens. Stuart will share how data builds brand loyalty and can create customers for life.  We’ll take a look at the right way and the wrong way to reward new and existing customers for the behavior you seek.  It’s not all about cost.

Data is useful to every size and type of business.  Hear us share the best practices to collecting, connecting and using data.

Stuart Aitken: Chief Executive Officer, 84.51°                     

With an extensive background in technology and marketing, Stuart Aitken is a firm believer in the power of the customer and the subjective concept of loyalty. Previously Aitken served as CEO of dunnhumbyUSA, Executive Vice President and Chief Marketing Officer for arts-and-crafts retailer Michael’s Stores.  For nearly a decade, he managed loyalty marketing, data analytics, innovation, and category management at North American grocery retailer Safeway.

As dunnhumbyUSA CEO Aitken led the company’s growth as a leader in personalization, helping clients such as The Kroger Co., Macy’s, Coca-Cola, General Mills, and Procter & Gamble find success by rewarding and retaining their best customers.

Aitken holds a bachelor’s and a master’s degree in Information Management and also worked as a software industry consultant and as a technology professor.

 

INDUSTRY FOCUSED TRACK SESSIONS

Retail and Consumer Analytics

Track Chair  Dan Whitacre, Senior Director of Enterprise Data Strategy, Kroger

IBM/The Weather Company: "Rethinking Weather: A Business Imperative"

Abstract:  Weather, and the weather forecast, is one of the largest unmeasured and (mostly) unmanaged influencers of consumer behavior and spending.  In this session, we explore the reasons behind the growing influence of the weather forecast on consumer behavior, and the new technologies that are enabling increased forecasting precision. We present examples of how companies are leveraging weather and technology to increase sales and profitability, and what the future holds as it relates to using weather data and forecasts as the basis for shaping business strategies.

Paul Walsh is Vice President, Weather Strategy and Business Meteorologist for The Weather Company, Paul helps companies use weather and climate "big data" to create and execute weather strategies that lead to more effective and profitable business outcomes.  One of the nation’s leading experts on the impact of weather on consumers and business, Paul’s observations are regularly featured on The Weather Channel and CNBC, and in dozens of national media outlets including The Wall Street Journal, Barron’s, and The New York Times.
    Before joining The Weather Company, Paul served as Senior Vice President, Business Solutions at Atmospheric and Environmental Research (a Verisk Analytics company), Chief Strategy Officer at Storm Exchange, Inc., and Senior Vice President, Client Services/Analytics at Planalytics, Inc. Prior to 1997 as a meteorologist in the United States Air Force, Paul provided weather-based intelligence support to war fighters and mission planners and served as the Chief of Weather Operations for the US Army’s elite 101st Airborne Division during Operation Desert Storm.

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Macy's:  "Data as Soft Power:  How To Influence Strategic Decisions In Pre-Information Age Organizations"

Abstract:

Stuart A. Stockton After more than 20 years with Macy’s, Stuart now helps to lead the organization’s charge towards becoming more data driven in operational decision making and optimizing the customer experience.  Leading to his current role, Stuart held positions in call center operations, systems development, offshore BPO management, financial planning, process improvement, workforce management, and more.  Stuart’s current team includes technologists, data scientists, modelers, analysts, and expert story tellers.  This diversity of roles and experiences allows Stuart to understand where and how practical analytics can add value and drive results in a large and complex retail support environment.  Stuart earned his BS and MBA from Xavier University.

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Nielsen Catalina Solutions: "Using Data & Analytics to Connect the Dots Between Consumers, Advertising and Sales"

Abstract: Linking advertising directly to consumer purchase behavior and measuring the ROI is the Holy Grail of marketing.  Big data  and advanced analytics enable large scale datasets to integrate consumer media viewing—“Watch” data with purchase behavior— “Buy” data in a single source.  This single source view provides the key to optimizing advertising for profitable outcomes.  The session will discuss:

  • What are the latest innovations and strategies in advertising effectiveness?
  • How Big Data + Right Data can be leveraged to make smarter, actionable decisions for all media platforms.
  • Why defining the most valuable customers based on what’s in their shopping cart is central to an ROI centric approach.
  • How consumer package goods (CPG) marketers have achieved incremental sales lifts

Jenny Carrle is Vice President, Delivery & Analytics at Nielsen Catalina Solutions (NCS). She is responsible for leading the D & A team, helping NCS clients understand the return on their advertising spend and overall effectiveness of their campaigns using in-store purchase data to measure their results. Since joining NCS in October of 2013, Jenny has work with our TV and digital clients in this area. In addition, she has been responsible for mentoring and training new hires. 
    Prior to NCS, Jenny worked at Nielsen Neurofocus, ThinkVine, Nielsen AAC, Ipsos Insight, and as a math teacher, giving her a wealth of experience and expertise in technical modeling as well as client consulting. Jenny holds a BS and MS in Mechanical Engineering from UNC Charlotte and UC Davis respectively.

Anthony Wintheiser is Vice President, Client Consulting, Nielsen Catalina Solutions and  leads Client Consulting at Nielsen Catalina Solutions (NCS), a joint venture between The Nielsen Company and Catalina. In this role, Anthony helps advertisers, agencies, and publishers use NCS’ gold standard offline purchase data for precision marketing and sales measurement to increase effectiveness and efficiency of TV, online, mobile, print, and radio media campaigns. Prior to his time at NCS, Anthony worked across various Nielsen Watch and Buy divisions, where he was responsible for sales, client service, and analysis.
    Anthony received his MBA from Northwestern University Kellogg School of Management in Chicago, IL and  BSc from Cass Business School in London, England. He lives in Cincinnati, Ohio, and is an avid marathoner, triathlete, and obstacle course racer.

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Healthcare Analytics

Track Chair: Denise White, Director QI Analytics, Cincinnati Children's Hospital Medical Center

Mayo Clinic: "Transforming Health Care Delivery through Prescriptive Analytics"

Abstract: The healthcare sector has been under increased scrutiny for access, cost and patient-centered care. The increase in the demand for health care and the complexity of present-day care delivery systems are placing ever-increasing pressure on the health system. This pressure is felt both from an institutional standpoint as well as at the individual front-line care provider level. The complexity of care delivery systems (e.g., emergency department) makes it difficult, if not impossible, to perform natural experiments to be able to characterize relationships between controllable factors (e.g., the timing and length of hundreds of shifts for various clinical roles) and quality measures (e.g., patients’ length of stay). Fortunately, the availability of immense amounts of transactional data (e.g., timestamp data at different stages of a care delivery process) and electronic medical record make it possible to identify and quantify intricate relationships among multiple factors and quality measures and develop data-driven models for redesigning and improving health care delivery systems. This talk shares experience of using such models to optimize patient scheduling in surgery and staffing levels in the emergency department.

Mustafa Y. Sir is an Assistant Professor of Health Care Systems Engineering at the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery. Dr. Sir graduated with a Ph.D. degree in Industrial and Operations Engineering (IOE) from the University of Michigan in 2007. He also holds a Bachelor of Science and a Master of Science in Engineering (M.S.E.) degree in IOE and an M.S.E. degree in Electrical Engineering – Systems, all from the University of Michigan.

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Cincinnati Children's Hospital Medical Center:"Using the Black Box: Displaying, Interpreting, and Communicating “Big Data” Model Outputs to Predict Clinical Deterioration Events"

Abstract: The ability to use “big data” from electronic medical records has the potential to enhance our understanding of patient status and improve patient care. Working with the MITRE Corporation, a machine learning model service was developed using data from three pediatric hospitals to predict clinical deterioration events. The complexity of the model and sheer volume of data presents challenges for displaying, interpreting, and communicating the outputs in a meaningful fashion. What do high scores mean? Are patterns more important than threshold? How do we validate what the model is telling us, and how do we obtain provider buy-in when explaining details of how the model works is impossible? We will discuss the current methods and tools used as well as challenges we have encountered at Cincinnati Children’s Hospital in trying to implement usage of “black box” models in a clinical setting.

Eric Kirkendall, MD, MBI, is an Associate Professor of Pediatrics at Cincinnati Children’s Hospital Medical Center within the University of Cincinnati College of Medicine. He is the first Associate CMIO in Cincinnati Children's history and oversees the design, implementation, and optimization of the electronic health record and other associated technologies.
    From a research perspective, Dr. Kirkendall co-leads the Decision Support Analytics Workgroup (DSAW), which investigates the links between the effectiveness of clinical decision support (CDS), patient safety, and user efficiency. His research has demonstrated ties between decreasing alert burden on clinicians, increasing CDS alert salience, and improving patient outcomes.
    Many of Dr. Kirkendall’s research projects have also incorporated artificial intelligence techniques (e.g., natural language processing) and other innovative methods to detect adverse events/harm across multiple hospital environments. These techniques are innovative because they allow investigators to use unstructured data that would otherwise be unavailable for analysis. The results have shown vast improvements in detecting errors related to medication administrations.

Katie Simon, MPH is a Senior Analyst in the James M. Anderson Center for Health Systems Excellence at Cincinnati Children’s Hospital Medical Center. While at CCHMC, Katie has worked on hospital wide safety projects and provided quality improvement support for the division of Psychiatry, the Heart Institute, and Perioperative Services.  Katie’s work is focused in the areas of patient and employee safety. She is a graduate of The Ohio State University College of Public Health, where she received an MPH in Epidemiology; she also holds a B.S degree in Biology from Denison University.

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Children's Hospital of Philadelphia: "Building a Clinical Quality-Driven Analytics Team from the Ground Up"

Abstract: The Children’s Hospital of Philadelphia established the Office of Clinical Quality Improvement in 2014 with the goal of empowering clinical teams with improvement and data resources to make changes to workflows and care plans to improve patient outcomes.  With that, we’ve been on a two-year journey to grow a clinical analytics unit from one analyst to a team of sixteen (and we’re still growing!).  With the right tools, training, and talent, we’ve identified at least one way to build a successful analytics unit from the ground up. 

Albert Chi is the Manager of the Clinical Data & Analytics team in the Office of Clinical Quality Improvement at the Children’s Hospital of Philadelphia.  He manages an analytics team that partners with improvement specialists to support quality initiatives throughout the hospital.  Albert holds an MBA from Boston University in Healthcare Management and graduated from the University of California, Berkeley with a BS in Electrical Engineering and Computer Science.  Prior to moving into the exciting area of healthcare, he spent many years in IT consulting.  Albert’s interests are in the successful application of data, design-thinking, and improvement techniques to improve healthcare delivery.

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Supply Chain Analytics  

Track Chair: Diana McHenry, Strategic Account Manager, Supply Chain Solutions, Llamasoft

Verizon: "Leveraging Analytical Rigor to Match Supply with Demand"

Abstract: With faster computing solving more complex problems than ever before, it is only natural that advanced analytics is a key factor in business decisions. Specifically, in the wireless industry there are several exciting challenges such as high value SKU’s, frequent new product introductions, correlations between SKU’s demand and many points of sale. With ever more demanding financial targets, an advanced analytical approach was essential to better match supply with demand at every point of sale. We will introduce how the demand and supply planning partnered with advanced analytics to create a dynamic analytical rigor approach to achieve a valuable impact on the business.

Yanai S. Golany is a Director of Strategy & Analytics in VZW Supply Chain, leading the advanced analytics, business intelligence and project management of the VZW forward supply chain. Previously Yanai held several leadership roles in Verizon’s wireline and wireless supply chain organization and in the defense industry. Yanai received his graduate degrees from MIT Sloan School of Management (MBA) and MIT School of Engineering (MS) as part of the Leader for Global Operations (LGO) Program. Prior to attending MIT, he received a Bachelor of Science in Industrial Engineering and Management from the Technion - The Israel Institute of Technology.

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Cintas: "Great Brand Growth Fueled by Supply Chain Data Analytics".

Abstract: Cintas leads the industry in supplying corporate identity uniform programs, providing entrance and logo mats, restroom supplies, promotional products, first aid, safety, fire protection products and services, and industrial carpet and tile cleaning. Cintas operates more than 400 facilities in North America—including eight distribution centers, six manufacturing plants and more than 3,000 suppliers globally.  Cintas helps customers be “Ready for the Workday”.  This Cincinnati-based company is growing rapidly, with revenue for the full fiscal year 2015 of $4.48 billion, and organic growth of 7.1%.  Cintas’ prowess in supply chain operations and transportation are key to their success and customer satisfaction levels.  Hear how Cintas is taking things to the next level by building a supply chain analytics team and integrating data-driven decisions to produce best-in-class results.

David Wheeler, SVP Global Supply Chain and Fleet Management, joined Cintas Corporation in 2001 and is responsible for Global Supply Chain and Fleet Management. In his role as Senior Vice President of Global Supply Chain & Fleet Management, Dave oversees Cintas’ company-owned and contracted manufacturing plants, procurement of raw materials, strategic sourcing, Distribution Centers in the U.S./Asia/Canada, supplier diversity, environmental sustainability, production planning, textile research and development, transportation, import/export, inventory management, Lean Six Sigma, the center of excellence and centralized fleet management. With a direct spend of $1 billion annually, the Company’s Global Supply Chain employs 2,000+ direct employee-partners and 8,000 people within contracted locations.  Wheeler holds a B.S. degree in Electrical Engineering from Merrimack College and an M.B.A. in Operations Management and Finance from Miami University. 

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P&G: “Supply Chain Analytics at Procter & Gamble”

Abstract: Analytics for Supply Chain is a “no brainer” but where do we start, how do we structure, and what do we do?  This presentation shares perspective on how Procter & Gamble’s Supply Chain Analytics organization is designed, their areas of focus and some of the keys to success they have found.  At a high level, the presentation will touch on SKU portfolio optimization, inventory solutions, total cost analysis, supply chain network optimization, supply chain operations and purchasing analytics.

Gary Kinney is Global Supply Chain Analytics Leader, leads a team of analysts and service/solution managers providing analytical solutions and support to our Supply Chain operations around the world. Past Work Experience includes Business Analyst and BI Leader, and Business Analyst at Global Health & Grooming, Global Oral Care, Global Personal Power, and Global P&G Professional.  He is a retired USAF Major and prior to joining P&G he spent 20+ years in the Air Force including his last 2 years on the Operations Research faculty at the Air Force Institute of Technology in Dayton Ohio. He has a BS in Comp Sci and a Masters and PhD in Operations Research.

Greg Brockman is Supply Chain Analyst - Purchasing with responsibility for planning & application of analytics to optimize the company’s sourcing strategies & decisions.  His past work experience includes: Supply Chain Analyst, Global Fabric Care, Business Analyst,Global Beauty Care, Global Grooming, and NA Beauty Care.  He earned his B.S. Degree in Electrical Engineering from University of Cincinnati (class of 1994)

Eric Downing is PS Analytics Service Manager with responsibilities for SKU Portfolio Optimization and Planning Analytics.  His past experience includes BI across a dozen domains, including Corporate BI, Inventory, Retail Supply Planning, Manufacturing, and others, Folgers Divestiture, Site IT Leader for Fabric and Home Care, SAP Security Designer/Developer.  He has a B.S. Degree in Management Information Systems from University of Dayton where he graduated in May, 2000.

Supply Chain Analytics Track sponsored by Llamasoft

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Finance and Insurance Analytics

Track Chair: Steve Slezak, Director Carl H Lindner III Center for Insurance and Risk Management, Associate Professor, University of Cincinnati

American Modern Insurance Group: "Predictive Modeling in Underwriting Property and Casualty Insurance"

Abstract:The discussion will provide an overview of the types of predictive models used by property and casualty insurance carriers and the specific business problems they inform (e.g., predicting claims, fraud, etc…).  The discussion will examine the challenges and opportunities associated with the technical, strategic, and managerial aspects of developing and using predictive models in property and casualty insurance.  Perspective on how predictive modeling has affected insurance markets will be provided, with an examination of potential future trends in predictive modeling.

Thomas Norwood has been the Director of Predictive Modeling in the Actuarial Group at American Modern Insurance Group since last summer.  Prior to joining American Modern, he was at Fireman’s Fund Insurance Company for 15 years, starting as an actuary and then, for the last 7 years there, working in predictive modeling. Tom is a Fellow of the Casualty Actuarial Society (FCAS); he has a BS in Mathematics (with a minor in computer science) from California State Polytechnic University, Pomona, and a Ph.D. in Mathematics from the California Institute of Technology.   

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US Bancorp: "The Analytics of Bank Stress Testing"

Abstract: Less than a decade ago, the United States' banking system nearly collapsed in the midst of a financial crisis, which highlighted deficiencies in the risk measurement and management practices of many large financial institutions. In the aftermath of that crisis, federal regulators developed the CCAR/DFAST stress test which requires large financial institutions to demonstrate that they would survive another severe recession, if one were to occur in the future. This regulatory action prompted the development of new quantitative departments that measure the sensitivity of all aspects of a financial institution to both the business cycle and idiosyncratic events. This presentation details the relatively recent introduction of stress testing analytics, how it promotes confidence in the ongoing lending capacity of the financial industry and explores how these tests can be informative in understanding a financial institution's risk in relation to the macro-economy.

Joe St. Charles, US Bank, Vice President of Financial Modeling, has been with U.S. Bank since 2007, where he has held a variety of positions within the Corporate Finance department. Most recently, he built and manages the bank's central Financial Modeling department. In that role, he leads development and implementation of the models used by the bank in the annual stress test, conducted by the Federal Reserve and OCC. This includes models to support the forecasting of pre provision net revenue across the bank's various lines of business. Joe received a Masters of Business Administration from the University of Chicago (2013) with concentrations in Finance and Economics and a Bachelor of Science (2007) from Xavier University.

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Fifth Third Bank: "Unleashing the Power of Data in Financial Services"

Abstract: The way in which customers want to interact with their financial services providers is changing. Rapidly evolving mobile, online, and ATM technologies have made it possible to perform financial research and transactions whenever and wherever an individual desires.  The ability to react nimbly to these changes will determine which providers can best meet the needs of customers, their own employees and, ultimately, shareholders.  As a result, financial institutions, and banks in particular, are having to develop competencies not traditionally viewed as strengths of the financial services industry - like real-time analytics and savvy, data-driven, marketing and customer communication capabilities.

Amy Wilson is Senior Vice-President and Director of Consumer Analytics at Fifth Third Bank.  In this role she is responsible for consumer, marketing, and digital analytics.  Ms. Wilson joined Fifth Third Bank in 2002.  She has served in various finance positions within the Investment Advisors and Information Technology divisions. Prior to joining Fifth Third Bank, Ms. Wilson worked as a management consultant in the Corporate Finance practice of Ernst &Young, LLP.  Ms. Wilson holds a Bachelor’s degree in Accounting from the University of Dayton and a Master’s of Business Administration from Duke University.  She is a board member of United Coalition for Animals (UCAN).

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 "Bonus" Analytics Track

Track Chair: Glenn Wegryn, Executive Director, UC Center for Business Analytics

Beck’s Hybrids: “Leveraging Machine Intelligence to Create Better Hybrid Seeds”

Abstract: Beck’s Hybrids is the largest family-owned, retail seed company in the United States, serving farmers in Indiana, Illinois, Ohio, southern Michigan, western Kentucky, Tennessee, Iowa and eastern Missouri. The corn breeders (geneticists) work to predict the highest-yielding regionally optimized hybrids from a pool of 30,000 candidates and advance the top 2% every year. They are moving from a timeconsuming manual process to an automated process by leveraging machine intelligence to automatically create analytical models. Beck’s can now churn through their data to more accurately identify the highest yielding hybrids in minutes instead of months.

Brad FruthAs Information Systems Manager at Beck’s Hybrids, Brad Fruth works vigorously to deliver value to the American farmer. For more than 12 years, Brad has dedicated his days (and nights) to delivering the successful convergence of IT, big data, and precision agriculture. As an advocate for agricultural innovation, Brad is actively engaged in initiatives throughout the state of Indiana. He sees increased access to rural broadband and focused collaboration across various sectors as key initiatives to bridging the gap between technology and agriculture.

Scott Howser serves as SVP of products and marketing at Nutonian with responsibilities for product management, marketing and business development. Prior to joining Nutonian, Scott served as vice president of products and marketing at Hadapt with responsibilities for product management and marketing. Prior to Hadapt, Scott was vice president of product marketing at Vertica, an HP Company, with responsibility for product messaging, corporate branding, and establishing best practices for deployment and solutions architectures.
Scott earned an M.B.A. from the University of Notre Dame, an M.S.I.S.M from Loyola University Chicago, and a bachelor's degree from Ohio Dominican University.

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E. W. Scripps: "Topics and Trends in Media Analytics"

Abstract: Today’s media landscape is changing rapidly, driven by shifting consumer preferences, technology innovation, and a vast array of programs and entertainment. In addition to generating new economic models and disrupting old ones, these changes have also been accompanied by the arrival of advanced analytics in the industry. It’s a challenging and fascinating time to be in the media business, and Eric Duell highlights several trends.

Eric Duell serves as vice president of analytics and intelligence at The E.W. Scripps Company.  In this role, Duell develops Scripps’ use of analytics to identify new market opportunities, enhance its data storytelling capabilities and provide insights that support the company’s strategies of content and product innovation.  Prior to joining Scripps in December 2014, Duell led the practice for analytics and intelligence at Data Intensity, an information, intelligence and analytics consulting firm based in Boston, MA. He was responsible for the development of analytics roadmaps, implementation strategies and initiative plans for strategic accounts.
    Duell also co-created the curriculum and for several years taught Data Visualization (BANA6037) in the UC Linder College of Business. The course is designed to teach the fundamentals of visual communication as they relate to data strategy, business intelligence and analytics.
    Duell has previously worked as a creative director, digital media strategist, account director, and director of interactive marketing. He also was the executive in charge of a documentary series about how families live around the world, which aired on public television stations, and a series to teach Mandarin Chinese to children. He started his career as a newspaper photojournalist and received an honorable mention from the Associated Press Society of Ohio for Spot News Photography.  Duell graduated from Ohio University in 1995 with a BSC in communications.

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Cincinnati Bengals, Cincinnati Bearcats, predictionmachine.com: "Sports Analytics: Now and Next"

Abstract: The term “moneyball” has become synonymous with the data and analytics revolution that has swept through Major League Baseball since the turn of the century. Now, however, that movement has spread across all sports to varying degrees. All of the data that was previously either ignored or misunderstood is now informing team and business operations, player personnel, and on the field decisions. Paul Bessire of The Prediction Machine, Geoff Smith of the Cincinnati Bengals, and Brandon Sosna of the Cincinnati Bearcats will share insights into how their respective organizations employ analytics and the future of data in sports.

Paul Bessire is one of the foremost authorities on mathematically modeling and analyzing all sports. For more than ten years since earning his Master's degree in Quantitative Analysis (with a focus on Finance and Sports) from the University of Cincinnati, he has turned what was his longtime hobby of predicting and writing about sports outcomes into his full-time profession. Over that time period, Paul has had great success, accurately choosing the against-the-spread winner in ten of the last 12 Super Bowls, correctly predicting 41 of 54 NFL playoff games against-the-spread since the PredictionMachine.com's launch and hitting more than 65% against-the-spread with Locks of the Week.

Geoff Smith has served as a technology and analytics advisor for the Cincinnati Bengals since 2004. Geoff provides club ownership with strategic consulting for the utilization of technology and analytics. He is responsible for the development, deployment, and successful implementation of information technology projects across player personnel and coaching solutions. Geoff founded LP Enterprises in 2004, after a 25-year career with Procter & Gamble.   He has held various leadership positions in Information Technology at P&G including Deputy CIO, Director of e-Business, and CIO of P&G's $2 Billion Japan business unit.

Brandon Sosna joined the University of Cincinnati Department of Athletics in August of 2015 as the Director of Strategic Relations and Associate Director of Marketing.  In his role, Brandon assists the Director of Athletics with special projects designed to advance the strategic aims of the program. In marketing, Brandon leads the department’s analytics efforts, coordinates email marketing, oversees student engagement, and supports strategic planning and execution for football and men’s basketball. He also serves as the primary marketing contact for Men’s Soccer, Track & Field, and Lacrosse.