Analytics Events

Next Event: Analytics Summit 2019, April 1-3

Data Science Symposium Image:  Event scheduled for April 1-3 2019 at Sharonville Convention Center

This year the Analytics Summit 2019 will be held on April 1-3 at the Sharonville Convention Center.  Website and registration will be available in the New Year.  The Summit will again feature two days of training and one conference day with 3 keynote speakers and 5 applied analytics track sessions with three presentations in each track.

Confirmed training sessions and insructors include:  Machine Learning with R featuring Brad Boehmke and Brandon Greenwell, Intermediate and Advanced Tableau, a new more advanced Tableau training class with Jeffrey Shaffer, and Big Data: Hadoop and Spark with Andrew Harrison and Jay Shan.  The fourth session will be determined soon.

The five track sessions will include Financial/Risk Management Analytics, Marketing Analytics, Operational Analytics, Analytics Management and Leadership, and the last track is not finalized yet, but could possibly include tutorials on different Analytics Tools.

Analytics Summit Call for Speakers:  We are open to submissions from analytics experts who would like to speak at the Analytics Summit.  Please contact Larry Porter 513-556-4742 for more information and requirements on presentations.

Analytics Summit Sponsor Opportunities:  We are seeking event sponsors who want to connect with the Midwest and Cincinnati analytics professionals that attend our events.  Several sponsorship options are available.  Current event sponsors include SAS, Teradata and Domo  Please contact Larry Porter 513-556-4742 for details.

Are you a start-up technology, analytics, machine learning or AI company? Contact us to learn how you can participate in this event.  Larry Porter  513-556-4742

Recent events

Data Science Symposium 2018

Friday, October 12, 2018. 7:30 a.m. to 1:00 p.m. Location: 112 Carl H. Lindner Hall.

The Data Science Symposium will showcase presentations from thought-leaders in data science. Each presenter will discuss technical use cases. The event will also include opportunities for networking with other leading analytics professionals and graduate students in the Business Analytics and Information Systems programs. Attendees will receive continental breakfast, box lunch, and free parking.

Keynote speakers

John Bossert, Senior Data Scientist at Google, will address "Two Problems in Demand Planning for Compute Resources at Google."

Michael L Thompson, Research Fellow from P&G, will follow with "Bayesian Sense Making in Data Science."

Joe Blue, Director of Global Data Science at MAPR, will finish the keynotes with "Zen and the Art of Model Maintenance."Replace with your text

Details of this event can be found at this link  Data Science Symposium 2018

2018 Analytics Summit, May 14-16

Keynote speakers

The 2018 Analytics Summit featured keynotes Cameron Davies, Senior Vice President Analytics and Strategy, NBC Universal; Bill Franks, Chief Analytics Officer, International Institute for Analytics; and Craig Brabec, Director, Global Insights and Analytics, Ford Motor Company.

Four two-day and one half-day training sessions

Attendees had the chance to learn from the best industry instructors in these educational sessions:

  • Data Mining: John Elder, data mining expert and author
  • Tableau Training: Jeff Shaffer, Tableau Zen Master
  • Machine Learning with R: Brad Boehmke and Brandon Greenwell, R book authors
  • Big Data with Hadoop and Spark: Andrew Harrison and Jay Shan, professors and big data researchers
  • Analytics for Leaders: Glenn Wegryn, experienced analytics organization leader, Executive Director of UC Center for Business Analytics

Five all-day track sessions with 15 presentations

Data Visualization, Sports Analytics, Advanced Analytics, Big Data/Analytics Case Studies, and Analytics Management and Leadership. Top speakers from companies such as the Cincinnati Reds, Elder Research, DHL, Cincinnati Children’s Hospital, Verizon, P&G, Amazon, University of Cincinnati, Amend Consulting, Unifund, and more.

Review the event page for more information.

2018 Machine Learning Day, February 14

Keynote speakers

Machine Learning Day featured keynote addresses from Mohammad Taghi Saffar, Machine Learning Engineer, Google; Doug Meiser, General Manager of R&D Operations Research, Kroger; and Jeff Dandridge, VP Product Marketing, FICO.

2017 Data Science Symposium, October 10

Keynote speakers

The 2017 Data Science Symposium featured keynote addresses from Joe Blue, Director of Data Science, MapR; Mark Wolff, PhD, Advisory Industry Consultant and Chief Health Analytics Strategist, Health and Life Sciences Global Practice, SAS Institute; and Joe Porter, Chief Analytics Officer, Flywheel Digital.

2017 Analytics Summit, May 19

Keynote speakers

Brian Christian, co-author, Algorithms to Live By: The Computer Science of Human Decisions; Neil Hornsby, Pro Football Focus; and Stephan Chase, Chase Intel.

2017 Analytics for Social Good Day, February 16

Keynote speakers

Jordan Goldmeier: Data Science Manager, DataKind.org; Eric Duell, Vice President, Analytics and Intelligence, The E.W. Scripps Company; Daniel Gerard, Operational Director of the UC Institute of Crime Science in the School of Criminal Justice and Murat Ozer, Research Director, UC Institute of Crime Science.

Past event and speaker information

Keynote speakers

Andrew Harrison, Assistant Professor Operations Business Analytics and Information Systems, Lindner College of Business
Big Data Integration and Fraud Detection

Abstract: Fraud costs consumers and firms billions of dollars annually, and the problem is getting worse. The “Internet of Things” has expanded vulnerabilities and social networks provide a wealth of personal data that fraudsters covet. Big data solutions offer promising new avenues to fight fraud, but major hurdles persist: constraints upon completeness, accuracy, timing, and security make it difficult to get the information needed to detect fraudulent transactions as they occur. During this presentation, Andrew will discuss big data integration strategies that offer solutions to overcome these problems, and will provide examples of how firms are currently using big data integration practices to fight fraud.

Bio: Andrew Harrison is an Assistant Professor of Information Systems in the Lindner School of Business at the University of Cincinnati. His research interests include consumer fraud, deception, security systems, privacy, media capabilities, and virtual worlds.

Lawrence J. Weber, Director, Analytics Platform Services, IBM
The Shifting Software Market: Top Three Trends in Big Data and Analytics

Abstract: While the software market has been progressing over the past 60 years, there have been some major shifts in how both practitioners and end consumers interact with the technology. Software has evolved from a hardware dependent afterthought to an instant, on-demand service.

In this talk, we will outline and discuss top technology trends that we are seeing emerging from the software market (such as open source and cloud technologies) and illustrate how these advances may affect the way that you (and your organization) consume software, build new products and tap into deeper analytical insights.

Bio: Having spent over 20 years in technology, building new business and bringing products to market, Larry understands the benefit of business analytics and tapping into new data sources for competitive advantage. On his current mission, he is getting back to his roots, getting hands on and is redefining the way that developers interact with enterprise software and engage with IBM on the digital front.

Prior to this role, Larry ran product marketing and strategy for IBM’s big data portfolio, including Hadoop and Streaming technologies and spent considerable time with IBM’s data warehousing business launching IBM’s first family of data warehouse appliances.

Larry holds an MBA with concentrations in product management and entrepreneurship from Kenan-Flagler Business School (UNC) and a Masters of Computer Science from North Carolina State University.

Derek S. Kane, Enterprise Systems Engineer, Cloudera, Inc.
The Road Less Traveled: Data Science with Big Data

Abstract: Walk down the road with us as we go from data immaturity to the eventual destination: The Road Less Traveled - Data Science with Big Data

Derek will discuss how big data can impact your organization, how to find use cases that can make a significant impact, and how you can take your staff down the road to real expertise with Big Data and Data Science.

Bio: Derek Kane has spent the last 20 years building solutions with data. Before joining Cloudera, he spent ten years with a large financial services company where he was a Lead Architect. As a part of the Innovation team, Derek led the creation of Big Data solutions for an organization that managed $2 trillion in assets. He has also built out multiple Centers of Excellence covering Business Intelligence and Data Visualization. He is a patent holder for an application that manages Total Cost of Ownership of technology solutions. Derek has worked at Cloudera as a Systems Engineer since 2015 and is based in Columbus, Ohio. Derek holds a BS in Business and Economics from Lehigh University.

Keynote speakers

Thornton May, Author, Educator, and Futurist, Executive Director, IT Leadership Academy
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.

Bio: 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, TheWall Street Journal, The Financial Times, Computerworld, India Today and the South China Morning Post.

Stuart Aitken, Chief Executive Officer, 84.51°
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.

Bio: 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
Health Care Analytics: Track Chair: Denise White, Director QI Analytics, Cincinnati Children's Hospital Medical Center
Supply Chain Analytics: Track Chair: Diana McHenry, Strategic Account Manager, Supply Chain Solutions, Llamasoft
Finance and Insurance Analytics: Track Chair: Steve Slezak, Director Carl H Lindner III Center for Insurance and Risk Management, Associate Professor, University of Cincinnati
Bonus Analytics Track: Track Chair: Glenn Wegryn, Executive Director, UC Center for Business Analytics

Keynote speakers

McKay Curtis, Sr. Principal, Decision Science Team, Walt Disney Company
Applying Analytics: It's More than Magic

Abstract: Providing great analytics is not enough by itself to ensure it is applied by your client. Having an engaged client throughout the development process can ensure that analytics tools make their way into the daily lives of end users. In this talk, some best practices to achieve this are discussed. This has proven to be very fruitful for the Disney Decision Science team and two examples are described to illustrate the power of client engagement to ensure successful adoption of analytics tools.

Bio: McKay Curtis is Senior Principal on the Decision Science Team at the Walt Disney Company. His current focus is to improve business practices for partners at Disney through the integration of predictive and prescriptive analytics into daily work processes. Prior to joining the Walt Disney Company five years ago, McKay worked as a postdoctoral research associate at the University of Washington developing statistical methods for the analysis data from Alzheimer’s patients. McKay earned a Ph.D. in Statistics from North Carolina State University where he focused on Bayesian methods in variable selection and shape-restricted regression.

Jorge Silva, Senior Research Statistician, Developer, Enterprise Miner, R&D, SAS
A Roadmap to Predictive Analytics: Best-in-Class and Emerging Techniques

Abstract: Analytics are ubiquitous in the business world, and picking the right method, algorithm or technology for the problem at hand can be a challenge. In this presentation we will review some of the best-in-class supervised and unsupervised methods available for a variety of applications, including market segmentation and rare event prediction. In addition, we will cover emerging techniques devised for highly challenging tasks, such as product recommendation and pattern recognition in images and video. Thanks to recent advances in machine learning–for instance, collaborative filtering, deep learning and ensembles–these problems are now tractable at scale using commodity hardware.

Bio: Jorge received his PhD in Electrical and Computer Engineering from IST Lisbon in 2007. He continued to be involved in academics as a senior research scientist at Duke University, where he applied statistical models to large-scale problems, e.g., unsupervised learning, analysis of multi-modal data, recommender systems and social networks. Since 2012 he is a Senior Research Statistician Developer at SAS, where he develops high-performance distributed machine learning algorithms for Enterprise Miner. He holds multiple US patents and has authored numerous articles in scholarly journals.

Dr. Dave Schrader, Teradata (retired)
Sports Analytics–What’s New? What’s Hot?

Abstract: This survey talk describes the current state of data analytics for 5 major professional sports – baseball, basketball, football, hockey, and soccer, as well as analytics used by trainers and strength coaches. Topics include:

  • Sport is Big Business – how much money is involved?
  • The field of Sports Analytics is hot – what’s table stakes? What’s cutting-edge?
  • How do analytics from traditional marketing apply to sports business operations?
  • How can video and sensor technologies provide opportunities for improving team operations?
  • What are the latest research results for individual and team play dynamics?
  • What can business people learn from sports analytics, and vice-versa?

Bio: Dr. Dave Schrader spent 32 years in engineering, advanced development, and marketing for high-tech companies, including 24 years at Teradata. His areas of expertise include parallel database systems, marketing and operations analytics, as well as Big Data. He recently retired but stayed on the Teradata University Network Board of Advisors, where he stays busy giving talks for faculty and students on business analytics and best practices. Since retiring, he has focused on sports analytics, attending conferences and debriefing experts to create teaching decks and reading assignments to help more students get interested in both the business and operations side of sports analytics, as well as statistics and computer science. Dr. Dave holds a Ph.D. in Computer Science from Purdue University and is a popular speaker world-wide.

Lunch sports analytics panel

Chris Calo, Senior Business Analyst, Cincinnati Reds
Geoff Smith, Analytics Advisor to the Cincinnati Bengals
Brandon Sosna, Director, Strategic Relations and Associate Director of Marketing, UC Bearcats
Moderated by Dave Schrader

Tutorials and solutions in predictive analytics

George Habek, Analytical Training Consultant, Global Academic Program, SAS

Demonstration of SAS Forecast Server using an applied example within the Health and Life Sciences industry.

George obtained his B.S. degree in Mathematics & Statistics from Loyola University Chicago and his M.S. degree in Applied Statistics (With Distinction) from DePaul University Chicago. He has more than 18 years of programming and statistical modeling with SAS® and over seven years of statistical modeling experience in database marketing. He also has expertise in statistical analysis, data mining, predictive modeling, text mining, forecasting, clustering, and survey analysis. His in-depth knowledge of SAS® tools includes BASE, STAT, ETS, Enterprise Guide, SAS Studio, Enterprise Miner, Text Miner, Forecast Studio, JMP, Visual Analytics and Visual Statistics.

Damon Ragusa, ThinkVine CEO

This session will focus on key challenges faced by marketers and their partners in marketing analytics. We’ll cover marketers’ context and our methodological approaches to attribution and optimization.

An accomplished entrepreneur and marketing technologist, Damon founded ThinkVine in 2008. Seeing an opportunity to innovate how companies evaluate the performance of their marketing in an ever increasingly complex environment, Damon led the development of what would become ThinkVine's flagship product. In early 2009, ThinkVine launched its marketing planning & optimization software and services to the marketplace. ThinkVine was subsequently selected as a leader in the marketing mix modeling space by Forrester Research, an independent research firm. Damon's responsibilities cover the overall leadership of and responsibility for the company's performance, driving ThinkVine's thought leadership platform and contributing to its long-term product vision.

A popular speaker known for his domain expertise and thought leadership, Damon is frequently asked to present at such conferences as ad:tech, American Marketing Association (AMA), Advertising Research Foundation and the Institute for International Research. Damon has held partner and senior level positions at management consulting, marketing science and software development firms. He holds degrees in Quantitative Studies and Psychology and has conducted advanced studies in both Business Administration and Computer Science.

Zahir Balaporia, CAP Solutions Partner, FICO

Integrating and Deploying Predictive Analytics for Speed, Scale and Stability: From scoring and classification tools, to the powerful capability of integrating predictive analytics with optimization. All of this in a platform that allows decision makers to interact with the models, visualize results and compare scenarios, while reducing development and deployment time. A win-win-win for decision makers, IT and analytics teams. Zahir Balaporia, Solutions Partner, FICO.

Zahir develops customer focused solutions within FICO’s Decision Management Suite. With over 20 years of business and IT operations experience, he brings thought leadership to the development of advanced analytics solutions across analytical domains and industry verticals. He also specializes in change management associated with deploying process disruptive technologies. Before coming to FICO, Zahir was Director of Advanced Planning and Decision Sciences at Schneider, a leading provider of truckload, logistics and intermodal services. His team specialized in the application of advanced analytical techniques for operational, tactical and strategic decision support across the enterprise.

Zahir is a Certified Analytics Professional through INFORMS. He is actively involved with INFORMS serving as President of the Analytics Section, and has served on the advisory council for the Business Analytics Conference for the last nine years. He is acknowledged in the books Competing on Analytics by Davenport and Harris, and The New Know by Thornton May. Zahir has a BS in Computer Engineering, an MS in Industrial Engineering, and is completing an MS in System Dynamics.

Keynote speakers

Sarah Denman, Vice President, Insights, and Jillian Payne, Director, Analytical Development Program, 84.51o
An Organization's Journey to Build Analytic Expertise

Abstract: Sarah developed the analytic training program a few years ago at dunnhumby and has a good handle on what is required to build analytic chops in an organization. She will describe how their organization got started developing a large scale analytics training program for new hires before handing it over to Jillian, who will talk about her role in expanding the program beyond just new hires to the entire analytical community at the company and beyond.

Bios: Sarah Denman has a passion for both analytics and teaching. She has spent over 7 years analyzing transactional data for dunnhumbyUSA and 84.51°, and prior to that she spent 5 years teaching mathematics and statistics at Miami University. During her time with dunnhumbyUSA/84.51°, she has had a variety of experiences, including the opportunity to develop the first analyst new graduate training program. In her current role, she leads a diverse team of insights analysts who focus on pricing strategy for both retailer and CPG partners. Sarah holds a Bachelor of Arts in Sociology and a Masters of Science in Statistics from Miami University. In her spare time, Sarah loves spending time with her husband and four children. On weekends, she can usually be found at a soccer field cheering on one of her kids. She also enjoys traveling and attempting DIY home improvement projects.

Jillian Payne graduated from Miami University in 2009 with a degree in Marketing and Decision Sciences. Upon graduation, Jillian joined 84.51° (previously dunnhumbyUSA) as an Analyst working across various parts of the business from helping Kroger get Assortment right for their best customers to answering custom analytics questions for our CPG partners. After spending four years in Analysis, she “off-roaded” for 2 years in a more commercially-focused Solutions role helping our clients understand the best solution to answer their business questions and helping the organization innovate the next solution we need to offer for our clients. Recently, Jillian has returned to Analysis where she is leading the Analyst Development Program for new hires and beyond.

Andy Kriebel: Head Coach at The Information Lab's Data School
Good to Great–Tips for Helping to Become Great with Data

Abstract: Data is everywhere. But unless you have the skills to make sense of the data, then it’s merely a pile of numbers that take up space on your hard drive. To truly become great with data takes commitment, focus, passion, and specialized set of skills.

In this presentation, Andy Kriebel will review the tips that helped him learn about data visualisation, how he applied that to his work and life, and how you can get to the next level. Andy will then talk about how this passion led to the creation of the first “Data School” for learning Tableau and Alteryx, what they’re doing at the Data School, how these people will become the next generation of great data analysts, and what you can learn from their experience.

Bio: Andy, a three-time Tableau Zen Master working hard to make it four, stumbled upon Tableau in 2007 when he was desperate for help to quickly create dashboards using SSAS cubes. Since then, it’s been Andy’s personal mission to help as many people as possible “see and understand” their data with Tableau, which is the focus of his role as Head Coach at The Information Lab’s Data School.

In August 2009 he launched vizwiz.blogspot.com, which provides examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau Software. He writes two weekly series: Makeover Monday and Tableau Tip Tuesday. He also recently launched datavizdoneright.com, a site created to highlight data visualisation best practices, and is ½ of the website dear-data-two.com.

Away from Tableau, Andy enjoys spending time with his wife and four children being tourists in their own town. You might find Andy running the streets of London, playing football, or cheering on his beloved Arsenal in a local pub. One of Andy’s goals is to become to low handicap golfer at The Information Lab.

Jeff Goldman, Associate Director Enterprise Data Science at Procter and Gamble
Developing Exceptional Analytic Talent

Abstract: Analytic and Data Science Organizations drive critical competitive advantage for corporations. To leverage this potential, a company needs to build an organization that combines detailed technical and business expertise, and that has executive sponsorship that pulls them into the most critical problems of the enterprise. This presentation will look at the growth of analytics at P&G and strategies to start-up, train, operationalize, and grow analytic organizations.

Bio:Jeffrey Goldman is Associate Director of Enterprise Data Science, leading P&G’s Big Data Analytics and serving as analyst to P&G's leadership.  In recognition of his sustained analytic contribution to P&G, he was inducted into P&G’s CIO Circle.  Before his current role, Jeff led Business Analytics for Global Markets and the Western European Analytics Organization and founded and led the Market Analytics group for China and Product Supply Analytics for Asia.

Jeff was born in Cincinnati and holds a BA in Economics and a Masters in Operations Research from Cornell University. He lives in Cincinnati with his wife and son.

Rex Daisey, Data Scientist at E.W. Scripps
Beyond Technical Skills - Build Your Domain Knowledge

Abstract: This talk stresses the importance of understanding the business environment in order to have a foundation to get great actionable insights from Analytics. While it is true that true analytic talent is a requirement the success of an analyst and an analytic team requires far more domain knowledge.

The presentation will help attendees:

  • Learn the business – understand and map the competitive environment; use financial reports to get key metrics and hit the ground running.
  • Manage expectations and keep your learning agenda goals focused using 'The First 90 Days' approach by Michael Watkins.
  • Learn industry trends by watching interviews and reading popular blog posts.

Bio: Rex Daisey brings over 15 years of data analytics and business intelligence experience. He is a practitioner drawing on experience leading and mentoring analytics teams in several industries: publishing, higher education, pharmaceuticals, financial services and broadcasting. Through this regular changing of environments Rex has developed and refined several techniques to quickly learn and add value.

In his spare time Rex enjoys giving back through skills based volunteering for non-profit organizations, spending time with his wife and six year old son, and following baseball. Rex holds a Master of Business Administration (MBA) from Xavier University, an undergraduate degree from Purdue University and a Professional Certificate in Risk Management from Stanford University.

Keynote speakers

Dr. John Elder
The Peril of Vast Search (and How Target Shuffling Can Save Science)

Abstract: It’s always possible to get lucky (or unlucky). When you mine data and find something, is it real, or chance? The central question in statistics is "How likely could this result have occurred by chance?" Ancient geniuses devised formulas to answer this question for special-case scenarios. Yet, their calculus only applies to quaint, handmade analyses where a few hypotheses are considered. But modern, predictive analytic algorithms are hypothesis-generating machines, capable of testing millions of "ideas." The best result stumbled upon in its vast search has a much greater chance of being spurious. Such overfit is particularly dangerous, as it leads one to rely on a model molded to the data noise as well as signal, which usually is worse on new data than no model at all. The good news is an antidote exists! John Elder will explain the simple breakthrough solution that's rarely employed, but being rediscovered in leading fields. He will illustrate how to use the resampling method he calls "target shuffling" in multiple learning scenarios, showing how it calibrates results so they are reliable. Bottom line: Honest data science is needed to save experimental science!

Bio: Twenty years ago, John Elder founded Elder Research, America’s largest and most experienced analytics consultancy. With offices in Charlottesville, Baltimore, and Washington, DC, they’ve solved hundreds of challenges for commercial and government clients by extracting actionable knowledge from all types of data.  Dr. Elder co-authored 3 books -- on practical data mining, ensembles, and text mining -- two of which won “book of the year” awards.  John has created data mining tools, was a discoverer of ensemble methods, chairs international conferences, and is a popular workshop and keynote speaker.  Dr. Elder earned Engineering degrees from Rice and UVA, where he’s an Adjunct Professor. He was named by President Bush to serve 5 years on a panel to guide technology for national security.

Stephen Few
Signals

Abstract: There is no shortcut to enlightenment. Better decisions can only come from better understanding. Information technology does not hold the key to better decisions, we do. Technologies can augment our thinking, but cannot replace it.

The computer has ushered in a new “data age.” The “information age” is yet to come. For this to happen, we must use better technologies more intelligently. Most data is noise. With more data comes more noise but not necessarily more signals. More important than gathering more data, we must learn to distinguish signals from noise. The longer we wait, the harder this will become. While there’s still a chance, we must turn up the signals and turn down the noise. In this presentation, Stephen Few will introduce what’s needed to do this.

Bio: Stephen Few has over 20 years of experience as an innovator, consultant, and educator in the fields of business intelligence (a.k.a. data warehousing and decision support) and information design. He focuses on the effective analysis and presentation of quantitative business information. Stephen is recognized as a world leader in the field of data visualization.

Track speakers

Glenn Wegryn
Built to Last: What's Your Analytics Strategy?

Abstract: So you've sold-in Analytics to your organization, bought the software, attended the conferences, (think you) understand Big Data and have delivered a modest, but insightful analysis.  Great start!  Now get ready to roll up your sleeves to figure out what your Act II will be, and more importantly how to sustain the impact and ultimately gain the competitive advantage analytics offers.  This session, led by a seasoned practitioner, will discuss three keys to achieving long term success in analytics: Strategy, People and Relevance.

Bio: A dynamic and engaging speaker, Glenn Wegryn has been an evangelist for analytics for over 30 years.  Notably, he re-built the Advanced Business Analytics practice at P&G into a world-class, award-winning organization. Now retired from P&G, he actively consults and coaches on analytics and supply chain strategy and design. Glenn is a regular invited speaker at major conferences.  He holds a BS in Quantitative Analysis from Indiana University Kelley School of Business and is a Certified Analytic Professional by The Institute for Operations Research and Management Science (INFORMS) and currently serves as President of the Analytics Section of INFORMS.

Doug Meiser
Growing an Analytics Team

Abstract:  Analytics talent is in short supply. Learn about the way that Kroger’s Operations Team successfully constructed a mathematically diverse team to create a sustainable competitive advantage.

Bio:  Mr. Meiser is proud to be the founding member of the Operations Research Team at The Kroger Company. The Operations Research team has delivered world-class solutions in innovation, queuing, inventory, facility layout, manufacturing analysis, and many other disruptive solutions. In 2013, Doug was honored as a Franz Edelman Laureate for the Operations Research Team’s work in inventory; the medal is given to men and women who distinguish themselves with their significant contribution to applied analytics. He was honored in 2014 for the company’s rank at the number three spot in the Information Week Elite 100 for the Kroger QueVision system. Doug obtained his B.S. in Mathematics and Physics and his MBA from Northern Kentucky University. Doug enjoys coaching the micro-soccer team for his kids.

Laura Harris
Evolutionary Analytics Enablement

Abstract: Enabling a self-service model may be one of the most gratifying movements that a data executive can make. At American Modern Insurance Group, the demand for ad hoc reporting had well outpaced the team's capacity, leaving true skill sets underutilized. With this realization, Laura Harris proposed and executed a strategic vision to limit her team's reporting resources in the short term in order to enable the business long term. In this session, Harris uncovers the keys behind balancing immediate frustrations while staying the course and delivering on a greater promise – self-service in the hands of the business customer to enable insight driven operational and strategic decision making.

Bio: Laura H. Harris, CIC is Vice President of Business Intelligence & Analytics at American Modern Insurance Group. With American Modern Insurance Group for 21 years, Laura has held a variety of positions in Product Development, Underwriting, Operations and now Business Intelligence. Laura is a co-developer of the company’s five year Enterprise Data Warehouse and Business Intelligence Strategy and leads the team responsible for supporting 1,300 internal analytics business users as well as 700+ external partner users. She is a graduate of the University of Cincinnati, holds the designation of Certified Insurance Counselor and is currently pursuing her designation as a Chartered Property and Casualty Underwriter. She is a resident of Ft. Thomas, Kentucky with her husband, and is the mother of a senior in high school and first-year medical school student.

Kelly Martin
Designing Dashboards to Delight

Abstract: For far too long, business dashboards seem to have been designed to purposely abuse and confuse their users. The recent explosion of ‘beautiful’ web data visualizations has the pendulum swinging widely in the other direction… beautifully designed, but not necessarily informative or useful for business. Our job as dashboard builders is to create a cohesive and accurate information message that can stand alone in a room without us there to interpret. In this session we’ll explore how to apply meaningful design to dashboards in a way that effectively communicates the data, highlights the insights and also provides enough beauty to draw the user in.

Bio: Kelly has been working as a senior data analyst since 2000 and has an education in demography; the study of population patterns and behaviour. (MA 2001). She has worked in health care (public health, cardiology), child protection services, and telecommunications and is skilled in social research methods, statistics, SQL and Tableau. Kelly has been Tableau Zen Master for two consecutive years, 2013 and 2014. Kelly’s visualization was featured in the Keynote at the last Tableau conference and was also mentioned in GeekWire. She authors VizCandy.ca, “at play in the world of data visualization”, focusing on designing Tableau dashboards.

Jeffrey A. Shaffer
Last Call at the Bar [Chart]

Abstract: What happens when a data visualization expert walks into a bar? We've heard many times that bar charts are great visualization tools, but this chart type has some limitations. This session will focus on variations of the bar chart and line chart and alternative chart types that can be used to visualize data, while still taking advantage of the strengths of the visual system. We will discuss the pros and cons of these various alternatives and show real-world examples from a number of data visualization designers.

Bio: Mr. Shaffer is Vice President of Information Technology and Analytics at Unifund and has been instrumental in the creation and development of the complex systems, analytics and business intelligence platform at the compny. Mr. Shaffer holds a bachelor of music and a master of music degree from the University of Cincinnati and an MBA from Xavier University where he was the winner of the 2006 Graduate Student Scholarly Project in Research. Jeff is also Adjunct Assistant Professor at the University of Cincinnati in the Carl H. Lindner College of Business teaching a graduate-level course in Data Visualization. He is a regular speaker at conferences, symposiums, universities and corporate training programs on the topics of data visualization and data mining, and also teaches data visualization at the KPMG Advisory University.

Ryan Sleeper
Data-Driven Storytelling: Tips from a Tableau Iron Viz Champion

Abstract: How do you get the most out of your descriptive dashboards when you’re not always there to actually describe the stories in your data to stakeholders? Former Tableau Iron Viz Champion, Ryan Sleeper, is here to share fifteen actionable tips on balancing design, data visualization best practices, and functional requirements to get the most out of your company’s descriptive analytics. Ryan believes that without some consideration to the intangible aspects of data visualization, your descriptive analytics practice is destined to fail. This session is for anyone who wants to improve their storytelling to maximize the effectiveness, adoption, and business impact of their dashboards.

Bio: Ryan Sleeper is Director of Data Visualization at Evolytics, a full-service digital analytics consultancy out of Kansas City, where he has worked with data-driven brands including TurboTax, Mint, Roku, Sephora, Dr Pepper, and the Atlanta Hawks, among many others. Outside of his day job, Ryan enjoys creating unique sports data visualizations that have led to several notable Tableau recognitions including 2013 Elite 8 Champion, two 2013 Top 25 Tableau Public visualizations, 2014 Elite 8 Sports Viz Finalist, 2014 Top 5 Tableau Public visualization, and 2013 Tableau Iron Viz Champion. His work has garnered attention from popular websites including The Guardian, ESPN, and Grantland. He is a lifelong Kansas City Chiefs and Kansas City Royals fan.

Ronald Dravenstott
Geisinger Health Systems Uses Predictive Modeling to Mitigate No-shows

Abstract: No-shows, patient appointments that are scheduled but not completed, cost Geisinger Health System (GHS) over $20M annually. GHS has created and implemented a No-Show Predictive Model (NPM), an Artificial Neural Network-based model that identifies patients likely to no-show and enables proactive targeted interventions. The NPM and targeted intervention have been integrated with the Electronic Health Record and tested through a randomized controlled trial which showed a 24.9% relative reduction in the no-show rate. Subsequent to the randomized controlled trial, GHS has expanded the NPM to 40+ clinics. The impacts of the NPM are: 1) former no-showing patients receive care, 2) patient access to care is improved, and 3) clinics operate more efficiently. The NPM targeted interventions are projected to prevent over 5,000 no-shows annually.

Bio: Ron Dravenstott MS, Senior Modeler-Operations Research, Geisinger Health System, has been an Operations Research Practitioner at Geisinger Health System (GHS) since 2011. He received his Master of Science (2012) and Bachelor of Science (2009) in Industrial and Systems Engineering from Ohio University. In addition to his work on no-shows to outpatient appointments, while at GHS Ron has improved predictions for surgical case durations, implemented a short-term inpatient bed demand forecasting tool, and developed an Emergency Department discrete-event simulation model. Prior to joining GHS, Ron was a research assistant at Ohio University developing manufacturing cost estimation software for General Electric Aircraft Engines, Electric Power & Water Systems.

Erick D. Wikum
Tales from the Trenches of Predictive Maintenance

Abstract: The ultimate goal of predictive maintenance is to identify and address impending failures before they occur. Proliferation of low cost sensors producing reams of data provides the basis for significant progress towards that goal. And yet, significant challenges exist to harness sensor and other data to predict and diagnose failures. This presentation examines several such challenges related to interpreting data and moving from detection to action in the context of real world case studies.

Bio: Erick D. Wikum is a Principal Scientist within the TCS Innovation Lab in Cincinnati, OH. He focuses on applied supply chain research, interacting with leading universities, other TCS labs and corporate partners. Dr. Wikum has over 20 years of experience in applying Operations Research and analytics techniques to help people and organizations make better, data-driven decisions. His primary application area has been freight transportation, with expertise in airlift, rail, truckload trucking, truck-rail intermodal, third-party logistics, freight brokerage and pipeline transport.

Denise White
Predictive Analytics: What are the possibilities in health care?

Abstract: Over the past decade, the influx of electronic medical records in health care has opened up new horizons for deployment of analytics in the healthcare industry, especially in the area of predictive analytics. Improved data access and technology allows predictive modeling to answer many questions and permits proactive response that was not previously possible. Utilizing predictive analytics in both a static and real-time environment, we can answer many questions. What is the probability that a patient will be readmitted? When might an employee experience an on-the-job injury? What number of specialized nurses will we need in 2 days? How many patients are expected to be admitted/discharged on a particular day? When will we need to build additional ICU capacity? We will discuss the current methods and tools that we are using at Cincinnati Children’s Hospital to integrate predictive modeling into daily activities and explore the future potential in the industry.

Bio: Denise White is an Assistant Professor/Director of Quality & Transformation Analytics in the James M. Anderson Center for Health Systems Excellence at Cincinnati Children’s Hospital Medical Center. In her current position, she manages the analytic team supporting quality and transformation analytics across the hospital. The team provides expertise in statistical process control (SPC), performance measurement and reporting, and advanced analytics along with providing coaching and training in quality improvement analytics. Dr. White is a graduate from the University of Cincinnati’s College of Business where she received her PhD in Operations Management with a focus on Healthcare Operations. She holds a B.S degree in Mathematics and Computer Science along with an MBA. Dr. White’s research interests lie in the area of capacity management, hospital flow, scheduling, and advanced analytics.

Chris Stromblad
StratBAM: Geisinger Health System’s Strategic Bed Analysis Model

Abstract: How do executives best utilize their most expensive resources and deliver value in a highly variable environment? At Geisinger our high level decision makers are faced with this question when deciding how many beds are needed to ensure the right care at the right time for our patients. Studies have shown that elongated emergency room wait times until inpatient admission (>6 hours) are associated with an increased risk of mortality. In addition, the initial cost of an inpatient high acuity bed can be as high as $1 million, emphasizing the need for an analytic approach to support all bed capacity decisions. This presentation will detail how our team:

  • Analyzed patient flow data (>70,000 inpatients) from our electronic health record
  • Understood the detailed patient placement processes and the market forecast methods
  • Developed, validated, and applied StratBAM
  • Transformed a decision making process to be strategic, objective, data driven, and robust

Bio: Christopher Thomas Strömblad is a Senior Operations Research Modeler at Geisinger Health System’s Division of Clinical Innovation and a research associate at the Geisinger Center for Healthcare Systems Re-Engineering. At Geisinger, Chris has optimized outpatient clinic and physician scheduling with the objective of improving access to care and seeing more patients using Mixed-Integer Programming. Chris has also provided strategic decision support to multi-million dollar inpatient bed capacity challenges at times of hospital expansion and renovation.

Prior to Geisinger Chris worked at Accenture Copenhagen as part of a team of consultants and developed an IT-Vision for Save The Children Denmark.

Chris serves as a Councilor for the INFORMS Health Applications Society (HAS) and as Chair for the INFORMS HAS Practitioner Engagement Committee. Chris has a Master of Science Dual Degree in Industrial Engineering and Operations Research from The Pennsylvania State University and a Bachelor of Science in Engineering Mathematics from The Technical University of Denmark.

Zahir Balaporia
Real Time Dispatch Optimization

Abstract: Optimization is at the core of Schneider Intermodal’s driver dispatch process. At peak volumes the optimization matches thousands of hours of capacity with thousands of shipments, creating a very large and complex optimization problem to solve in real time. The data changes continuously based on updates from drivers, updates from railroads, updates from container sensors, changes to freight availability, and plans that are running ahead or behind schedule. This talk will cover:

  • An introduction to the technology framework, problem partitioning, and parallelization used to solve the optimization problem.
  • The change management program used for training frontline and upstream users.
  • The use of Hadoop to store optimization log files and the potential to use the data to feedback into the optimization process.
  • Successes and continuing challenges in deploying a semi autonomous real time dispatch optimization system.

Bio: Zahir Balaporia is Director, Process and Technology at Schneider, a premier provider of transportation, logistics and related services. He is responsible for implementation of business optimization technologies and related processes within the company’s Intermodal division. Prior to moving into the Intermodal line of business, he led the corporate Decision Engineering Team, which specializes in the application of advanced analytics for operational, tactical and strategic decision support. A Certified Analytics Professional with more than 20 years of experience, he is acknowledged in the books Competing on Analytics by Davenport and Harris, and The New Know by Thornton May. Zahir has an MS in Industrial Engineering from Purdue University and a BS in Computer Engineering from Clarkson University. He is pursuing an MS in System Dynamics from Worcester Polytechnic Institute.

Kevin Norwood

Bio: Research fellow at Procter & Gamble.

Keynote speakers

Andy Kriebel: Data Visualization Guru, Facebook
From Insights to Actions - Using Big Data to Drive Market Changing Decisions

Abstract: In 2008 during the keynote for the first Tableau Customer Conference, Stephen Few said “Our problem is not a lack of data, it’s our inability to make sense of what we have.” This simple statement resonated with Andy and he took it to heart in all of his future projects. When he began a new role at Coca-Cola in 2010, he wanted to use data visualization to “show” some of Coca-Cola’s biggest customers their data. In this session, you will learn how Andy approaches projects to go from data to insights to actions using rapid-fire analytical techniques, some of which led to multi-million dollar wins!

Bio: Andy Kriebel is a data visualization guru and Tableau expert at Facebook. He is also the creator of vizwiz.blogspot.com, a popular data visualization blog and a Tableau Zen Master. Andy’s foray into data visualization began with building project management dashboards for teams in Vietnam in 2005. His passion exploded when he began using Tableau in 2007. Since then, his drive has led to a life-changing opportunity at Facebook. In August 2009 he launched vizwiz.blogspot.com, which provides examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau Software.

Jude Schramm: Chief Information Officer, Digital: GE Aviation
The Industrial Internet: How GE is Optimizing Assets and Operations with Big Data and Analytics

Abstract: Our vision for the Industrial Internet is simple. It’s a connected network of intelligent machines – both brilliant GE machines and others – working the way they are intended to work: on schedule, reliably, efficiently, safely and securely – all with no unplanned downtime. Learn how GE is transforming the way we work by increasing the connected capability of our brilliant machines.

Bio: Jude Schramm is the Chief Information Officer, Digital for GE Aviation. Named to this role in August 2014, he is responsible for defining one digital strategy across and leading IT strategy and support for Aviation’s digital products and internal web services. Jude joined General Electric’s Aviation division in 2001 as a project manager in the Aviation Services Fleet Management IT division. He became a certified black belt in 2004, and in 2007 was appointed IT manager of the Commercial Engines Operations division. In 2008 Jude became a certified Lean leader for GE Infrastructure, where he was responsible for cross-business synergy programs between GE Aviation and GE Energy.

Steven Pino, National Vice President of Business Analytics Services, North America, SAP
Reimagining Sports and Business with Big Data

Abstract: Hear how SAP helped the German national soccer team get a leg up in winning the 2014 World Cup and find out what this and other use cases can do for you. Get inspired as we discuss how Big Data is an opportunity to change how you work, play, and live by tracking new signals within digital noise. Imagine new ways of conducting business by hearing industry use cases to show examples of what you can achieve.

Bio: As the leader of SAP’s Business Analytics services practice, his team is focused on ensuring customer success, outcome based solutions and driving partner enablement. Mr. Pino has over 25 years’ experience working for industry leaders such as ADP, Cambridge Technology Partners, Business Objects and SAP. SAP customers represent 98% of the top 100 most valued brands in the world, and most recently made news during the 2014 World Cup when it’s Sports Analytics solutions helped the German national soccer team use Big Data and analytics for competitive advantage to take top honors.

Steven brings a broad understanding of the application of business analytics to multiple industries and diverse stakeholders, supporting their efforts to continuously generate data-driven intelligence from connected things, people and devices – through Big Data, predictive analytics, enterprise mobility and cloud computing - to optimize business processes and automate operations for competitive advantage. Mr. Pino and his team of consultants are passionate about the incredible opportunity customers have to utilize today’s technology and software to simplify everything so they are enabled to run better.

He attended the University of Cincinnati and graduated with BBAs in Information Systems and Business Management. He began his professional career as a Management Consultant for Ernst & Young LLP, where he worked as a staff and senior consultant in the Pharmaceutical practice.

Jeff Ficke: Senior Vice President, Payments Strategy & Innovation, Fifth Third Bancorp
Real-Time Cash Management in Financial Services

Abstract: Data analytics is having a dramatic impact on consumer and corporate cash management. Combined with the real innovation and product adoptions of Omni-channel market such as mobile payments, chip base cards and advancements in online banking, the industry is advancing well beyond remote check deposit and electronic money transfers. Hear about how Fifth Third Payments Organization is using data analytic solutions to fundamentally change the customer experience, accelerate receivables, more effectively disburse money & mitigate fraud for both consumers and business customers.

Bio: Mr. Ficke serves as Senior Vice President of Payments Strategy & Innovation Director for Fifth Third Bancorp. In this position, he oversees the strategic direction & evolution of Payments Strategy and Business Development for Fifth Third’s Payments & Commerce Solutions division. The Payment & Commerce Solutions group represents close to $1 billion dollars in annual revenue to Fifth Third Bancorp. Mr. Ficke was previously the Director of Treasury Management from 2010 through 2013 where he lead a $450 million dollar line of business. Before that, he was Director of Central Operations, responsible for leading more than 2,500 employees handling Fifth Third Bank’s back office functions and Call Center services to nearly six million customers.

Mr. Ficke brings 20-plus years of payments processing experience to his position. Prior to joining Fifth Third Bank, he was co-founder and executive vice president of GovConnect, where he led the company’s transformation from a startup business to a national leader in payment processing solutions for clients including many local, state and federal agencies. GovConnect was sold to First Data Corporation in 2002.

Mr. Ficke received his bachelor’s degree in Mechanical Engineering and master’s in Mechanical Engineering from The Ohio State University. Mr. Ficke is a past president of the Gorman Heritage Farm Foundation. He has previously served as a board member of both the Epilepsy Foundation of Greater Cincinnati and the Cincinnati-Hamilton County Community Action Agency.