Purpose: Our focus is on analytics and data science content to support the growth and development of analytics efforts in business, government and non-profit organizations. Knowledge: Increase your knowledge of the latest analytics topics, tools and trends presented by the top experts in the industry. Learn from others how they apply analytics tools and manage data science teams in their industry. Networking: Connect with data scientists, analysts, presenters and practitioners. Executives from multiple industries will be there to learn best practices and meet attendees who could be good fits for their organization. Education: Hands-on experience with the latest tools and methods in data science and analytics. Learn from rockstar instructors, authors and zen masters who are passionate about sharing their expertise. This is the only time we will be offering some of these courses this year. Skills: Gain the skills that are in demand by employers and enhance your career by learning from the best and brightest analytics speakers and data science instructors anywhere.
Top conference keynotes include 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.
Learn from the best industry instructors in these educational sessions Data Mining: John Elder, data mining expert and authorTableau Training: Jeff Shaffer, Tableau Zen Master Machine Learning with R: B Boehmke and B Greenwell, R book authorsBig Data with Hadoop and Spark: A Harrison & J Shan, professors and big data researchers Analytics for Leaders: Glenn Wegryn, experienced analytics organization leader
Data Visualization, Sports Analytics, Advanced Analytics, Big Data/Analytics Case Studies and Analytics Management and Leadership. Top speakers from companies such as Cincinnati Reds, Elder Research, DHL, Cincinnati Children’s Hospital, Verizon, P&G, Amazon, University of Cincinnati, Amend Consulting, Unifund and more.
You can register for training only, conference only, or training and conference
We welcome all currently enrolled students from any school! Send an email from your .edu email address to receive the student code.
ADDITIONAL $100 DISCOUNT OFF CONFERENCE WHEN REGISTERING FOR TRAINING + CONFERENCE. THIS $100 DISCOUNT DOES NOT APPLY WHEN USING CBA MEMBER CODES
Keynote Speaker
“Data Mining” Instructor and “Advanced Analytics” Track Speaker
“Tableau” Instructor and “Data Visualization” Track Speaker
“Machine Learning with R” instructor
“Machine Learning with R” Instructor
“Big Data with Hadoop and Spark” Instructor
“Analytics for Leaders” Class Leader
“Data Visualization” Track Chair
“Data Visualization” Track Speaker
“Advanced Analytics” Track Chair
Ecommerce Business Tools Suite
“Advanced Analytics” Track Speaker
Analytics Management and Leadership Track Chair
Creating an Analytics Team in an Ever Evolving World
“Analytics Management and Leadership” Track SpeakerMegaTrends in Data & Analytics
“Analytics Management and Leadership” Track Speaker
“Sports Analytics” Track Chair
“Sports Analytics” Track Speaker
TBD
“Case Studies in Big Data/Analytics” Track Chair
Case Studies in Big Data/Analytics Track Speaker
Worldpay Case Study: Driving Operational Insights with (Big) Data
For more information about sponsorship and exhibit opportunities, please contact: Larry Porter 513-556-4742 porterlc@ucmail.uc.edu
Title : Transforming the Automotive Industry with Data and Analytics Abstract: Craig Brabec will provide an overview on how the Global Data, Insight & Analytics organization is helping to transform Ford Motor Company. Craig will present the journey Ford is currently undertaking as well as the challenges and opportunities that come along with it. Bio: As an enterprise champion of Data Analytics, Craig provides clear and applicable intelligence to enable better decision making for the enterprise. Craig has over 25 years of experience working in automotive, health care, manufacturing, supply chain, construction, management consulting and the military. He has served in roles including Strategy Champion, 6 Sigma Champion, program management, IT and global supply chain management. Craig currently serves on Advisory Councils for global companies, focused on advanced analytics and digital transformation. He is an accomplished speaker, including major conferences, universities and corporate events. Mr. Brabec served as a Lieutenant in the U.S. Navy’s Civil Engineer Corps. He graduated from Purdue University with a Bachelor’s Degree in Industrial Engineering and holds a Master of Business Administration (MBA) degree with distinction from the University of Illinois. He is a Licensed Professional Engineer. He is active in the promotion of STEM initiatives and the advancement of science and technology initiatives in education.
Title: Innovation versus Disruption..How NOT to break your Org with Analytics Abstract: Creating “change” in an organization is never easy, much less changes to a companies’ core culture…how it makes decisions and gets work done. When it comes to the area of “Big Data”, “Machine Learning”, “Advanced Analytics”, etc., it can be even more complex because even people who live in those areas everyday can’t even seem to agree on the definitions. Bio: Cameron Davies joined NBC Universal in 2013 filling the newly created role of Senior Vice President, Analytics and Strategy. In his role, he is responsible for the overall development and execution of the NBCU data and advanced analytics strategies designed to further NBCU priorities and support evolving business models. This includes areas such defining and leading the overall NBCU Data Strategy, Forecasting, Content Efficacy, Pricing and Yield Management, and “Big Data”, Machine Learning, and advanced AI. Cameron came from Disney where he led the internal COE for Advanced Analytics, Management Science and Integration. In this role, Cameron worked closely with Disney executives across the enterprise to deliver advanced analytics tools to drive business priorities. Cameron spent over 17 years at Disney developing and leading advanced analytical teams across a variety of business areas including Disney Parks and Resorts, Media Networks, Walt Disney Studios, Disney Interactive, and Disney Consumer Products. Prior to joining Disney he spent time as a Professor of Business/Finance for Pensacola Christian College. Cameron has a MBA, Master of Accountancy (MACC) and a BS Business Administration/Accounting from the University of West Florida.
Data Mining Course Description: Click here
Advanced Analytics Track Session 1 Title: What to Optimize? The Heart of Every Analytics Problem Abstract: Every analytics challenge reduces, at its technical core, to optimizing a metric. Product recommendation engines push items to maximize a customer's purchases; fraud detection algorithms flag transactions to minimize losses; and so forth. As modeling and classification (optimization) algorithms improve over time, one could imagine obtaining a solution merely by defining the guiding metric. But are our tools that good? More importantly, are we aiming them in the right direction? I think, too often, the answer is no. I'll argue for clear thinking about what exactly it is we ask our computer assistant to do for us, and recount some illustrative war stories. (Analytic heresy guaranteed.)
Bio: Dr. John Elder founded Elder Research, America’s largest and most experienced analytics consultancy in 1995. With offices in Charlottesville VA, Baltimore MD, Raleigh, NC 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 three 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. Lastly, John is grateful to be a follower of Christ and the father of five.
Tableau Course Description: Click here
Title: What Makes a Good Data Visualization? Abstract: An in depth look at what it takes to make a good data visualization, from function to aesthetics. Examine how design decisions, for example, picking the right chart types and choosing the colors, can have a big impact on the effectiveness of the visualization. Bio: Jeffrey Shaffer, Tableau Zen Master, is an expert in applying data visualization to create insights and competitive advantage. Mr. Shaffer is Adjunct Assistant Professor at the University of Cincinnati in the Carl H. Lindner College of Business where he teaches Data Visualization in the graduate course series for Data Analytics. He is a regular speaker at conferences, symposiums, universities and corporate training programs on the topic of data visualization, he writes for the data visualization blog at Data + Science and he was a finalist in the 2011 Tableau Interactive Visualization Competition. Mr. Shaffer also teaches data visualization at the KPMG Advisory University. Mr. Shaffer is Vice President of Information Technology and Analytics at Unifund. He joined Unifund in 1996 and has been instrumental in the creation and development of the complex systems, analytics and business intelligence platform at Unifund.
“Machine Learning with R” Course Description: Click here
Bio: Brad Boehmke, PhD, is the Director of Data Science at 84.51°, Professor at three universities, author of the Data Wrangling with R book, and creator of multiple R open source packages and data science short courses. He focuses on developing algorithmic processes, solutions, and tools that enable 84.51° and its analysts to efficiently extract insights from data and provide solution alternatives to decision-makers. He has a wide analytic skill set covering descriptive, predictive, and prescriptive analytic capabilities applied across multiple domains including retail, healthcare, cyber intelligence, finance, Department of Defense, and aerospace. Summary of his works is available online at bradleyboehmke.github.io.
Bio: Brandon Greenwell, PhD, is a Senior Data Scientist for 84.51 and Adjunct Professor of Statistics at University of Cincinnati. He is the author of several R packages on CRAN and has published several articles, including two in The R Journal, and is currently co-authoring an R book with Brad Boehmke---Advanced Business Analytics with R: Description, Prediction, and Prescription---to be published by CRC Press in early 2019.
“Big Data with Hadoop and Spark” Course Description: Click here
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. http://business.uc.edu/academics/departments/obais/faculty/andrew-harrison.html#bio
Bio: Zhe (Jay) Shan is currently an assistant professor in 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 Business Administration and Operations Research from Penn State University Smeal College of Business in 2011. Before joining UC OBAIS, he worked as Assistant Professor of Information Systems at Manhattan College School of Business for two years. Personal website: http://homepages.uc.edu/~shanze/
Analytics for Leaders Course Description: Click here
Bio: Glenn Wegryn is the Executive Director, University of Cincinnati Center for Business Analytics and has more than 30 years of global experience in Analytics. He spent 28 years at Proctor and Gamble, most notably as the creator and leader of P&G’s award winning Supply Chain Analytics Group. He is a three-time finalist for the Franz Edelman prize awarded annually by the Institute for Operations Research and the Management Sciences (INFORMS) for advanced analytics applications. Wegryn and his team were recognized for optimization techniques that saved P&G hundreds of millions of dollars. Glenn retired from P&G in 2012 and founded Analytic Impact LLC, an independent consultancy providing supply chain analysis and Analytic thought leadership to organizations looking to gain the competitive advantage analytics can offer to them. An active speaker and advocate for Analytics in the Boardroom, Glenn has shared his experiences at conferences, CIO and CMO events and has been an invited speaker at Fortune 500 companies, and at University of Cincinnati, Wayne State and University of Texas at Austin events. He currently serves as an advisor to the Business Analytics programs at UC and UT. Glenn earned a BS in Quantitative Business Analysis from Indiana University and is an INFORMS Certified Analytics Professional.
Bio: Blair Davis is Director - Quality & Transformation Analytics at CCHMC
Title: “Data Visualization: The Cure for Data Rich Information Poor Syndrome” Abstract: Organizations find themselves owning a lot of data and data visualization is still widely unknown to most businesses. This session will cover how to launch a data visualization group within a company from start to finish and will discuss methods on how to create visualizations to make fast impactful business decisions. Building from a foundation of spreadsheets and poor data quality we will focus on how to create a scalable data infrastructure and a flexible visualization platform to help overcome common hurdles faced by organizations. Focus will be given on recommendations on how to grow and develop a data visualization culture to help gain support within a business and how to scale by hiring and developing a team of champions to handle the potential growth. Attendees will learn about favorite strategies used to leverage data visualization principals to create clear and concise visualizations to rapidly gain support for a data visualization center of excellence. Bio: Experienced business intelligence professional with expertise in analyzing marketing, sales, financial and research data in order to develop strategies to enhance business growth. Strongly proficient at quickly assessing and analyzing data in order to present complex information to technical professionals as well as executives and non-technical professionals. I enjoy positions where I can leverage my skills within information systems, data visualization, and analytics with my competencies of business administration, marketing, and finance.
Bio: Geoff has a willingness and passion to succeed while becoming a resource to those around him. He compliments eight years of industry experience with a finance background and deep understanding of core ERP systems to drive solutions and results. Geoff has demonstrated expertise in leadership, decision making, client delivery, business analysis, and prides himself on being the bridge between data and decisions. His career highlights include architecting financial analytics systems for both Fortune 100 and Fortune 500 organizations, is on the board of the University of Cincinnati OBAIS department, and is the Practice Leader of AMEND’s Business Intelligence team.
Bio: Derek is a Project Leader at AMEND, focusing on business intelligence and data science projects. Previously, Derek has worked at GE Aviation and the IBM North American Analytics Center. Outside of consulting, Derek teaches data science seminars on topics ranging from machine learning with Python to SQL to data visualization. He has taught courses at schools such as MIT, Columbia University, and London Business School as well as corporations and CFA societies across the country.
Bio: Peng Wang is a Professor in the Operations, Business Analytics, and Information Systems department at the Lindner College of Business. http://business.uc.edu/academics/departments/obais/faculty/peng-wang.html#bio
Title: Ecommerce Business Tools Suite Abstract: Ecommerce operations have challenging profiles (small orders, each picking, large item count, fast turn times). These operations frequently require analytical tools and systems’ enhancements to run efficiently. In this presentation we will share the fundamentals of the suite of optimization and simulation tools that can improve the efficiency of ecommerce operations considerably. These tools can effectively turbo charge a Warehouse Management System similar to an expensive Warehouse Execution System at fraction of the cost. Bio: Adrian joined DHL Supply Chain in 2001 after working in operations at McDonald’s Restaurants and logistics design at Loblaw Companies Limited. Adrian is responsible for DHL Supply Chain’s Solutions Design department servicing all market verticals including e-commerce, Automotive, Consumer, Life Sciences, Retail and Technology. He manages a team of more than 50 associates working upwards of 500 supply chain projects a year. Adrian has a Masters in Industrial Engineering from the University of Toronto and teaches part time at The Ohio State University.
Title: Ecommerce Business Tools Suite Abstract: Ecommerce operations have challenging profiles (small orders, each picking, large item count, fast turn times). These operations frequently require analytical tools and systems’ enhancements to run efficiently. In this presentation we will share the fundamentals of the suite of optimization and simulation tools that can improve the efficiency of ecommerce operations considerably. These tools can effectively turbo charge a Warehouse Management System similar to an expensive Warehouse Execution System at fraction of the cost. Bio: Manjeet specializes in complex data analytics and mathematical modeling across DHL’s Global Center of Design Excellence. Prior to joining DHL in February 2015, he worked at Netjets in their Business Insights & Analytics department, developing and implementing advanced analytical tools. He has 10+ years of extensive research experience, published papers in various distinguished technical journals and frequently presents at industry and academic conferences. Manjeet has a PhD in Industrial and Systems Engineering from the Ohio university.
Title: MegaTrends in Data & Analytics Anstract: What happens when advanced analytics not only disrupts your business models, but even your own analytics organization? Only the most agile survive. Analytics organizations are struggling to cope with the evolving business requirements that started with needing to only solve ad-hoc wicked problems and then added expectations of becoming C-Suite analytical story tellers that influence every decision in a company. Now analytics organizations are the decision-makers. During this session, we will discuss the underlying causes of the large disruptions and forecasts for the future as to where your analytic investments will have the most impact in the future. Bio: David Dittmann is the Director Business Intelligence & Analytics Services for Procter & Gamble’s Global Business Services organization. He is responsible for Business Intelligence and the Analytics organizations spanning across P&G’s Global Business Units. With more than 18 years of experience at P&G, David’s career has focused on leveraging Analytics into P&G’s Marketing, Product Supply and Customer Business Development organizations. Previously, he was responsible for establishing Business Intelligence & Analytics for Asia in Singapore. His organizations have been recognized with numerous industry awards. David is a frequent industry speaker and is passionate around using analytics to make unconventional connections across all aspects of business. He holds a Bachelor of Science in Industrial & Systems Engineering and a Master of Science in Operations Research & Engineering Management both from The Ohio State University. He currently lives in Cincinnati, Ohio with his wife Shannon and three children Nathan, Abigail and Alyssa.
Title: "How to Find and Develop Analytics Talent" Bio: Anne is responsible for the overarching strategic vision across Verizon’s global supply chain which includes the wireless consumer supply chain, network supply chain, video and internet supply chain as well as global sourcing and procurement. Additionally, her team drives supply chain excellence through world class data-analytics, process innovation, and employee empowerment to achieve a holistic, collaborative and customer centric supply chain organization, that results in improved product life cycle management, working capital optimization, and shareholder value.
Co-presenter: Christopher DiCesare Title: Supervised Machine Learning of Time Series Accelerometer Data to Reduce False Positives in Brain Neuroscience Abstract: The World Health Organization (WHO) has projected that, by the year 2020, Traumatic Brain Injury (TBI) will rank third as a leading cause of the global burden of disease and injury. Current efforts to protect the brain from outside the skull (e.g., helmets, mouthpieces, and padding) have not led to any significant reduction in neither the incidence nor the extent of concussive brain injury as they do not limit movement and collision of the brain within the cranium. However, these investigations are limited by the accuracy of head impact exposure surveillance and quantification; in fact, many accelerometers yield a false positive rate of 66% or more. In conjunction with the University of Cincinnati’s Center for Business Analytics, we have developed a model to differentiate true and false positives that uses supervised machine learning of the time series recorded by the accelerometers. Bio: Gregory D. Myer, PhD, FACSM, CSCS*D, is the director of research and The Human Performance Laboratory for the Division of Sports Medicine at Cincinnati Children's Hospital Medical Center and maintains his primary faculty appointment in the departments of Pediatrics and Orthopaedic Surgery in the College of Medicine at the University of Cincinnati. Dr. Myer has published over 300 articles in peer reviewed medical journals and has published books and several book chapters related to his research on the injury biomechanics, human performance, pediatric exercise science, preventative medicine and sensorimotor neuroscience. Dr. Myer has received numerous awards for his excellence in sports medicine research. Among those awards are the American Orthopedic Society of Sports Medicine’s O’Donoghue Sports Injury Research Award (2005, 2015) and The NCAA Research Award (2010), National Strength & Conditioning Association Sports Medicine/Rehabilitation Specialist of the Year (2011), the Association of Bone & Joint Surgeons Nicolas Andry Award (2012), and the George J. Davies - James A. Gould Excellence in Clinical Inquiry Award Excellence in Clinical Inquiry Award (2014, 2016). Dr. Myer has been recognized three times by the Clint Thompson Award for Clinical Advancement in Athletic Training (2005, 2010, and 2013). Greg has been recognized for the American Academy of Orthopaedic Surgeons Kappa Delta/OREF Clinical Research Award, British Journal of Sports Medicine Systematic Review Award, the American Orthopaedic Society for Sports Medicine O’Donoghue Sports Injury Research Award, American Journal of Sports Medicine Systematic Review Award, and Sports Health Journal T. David Sisk Research Award. More recently Greg has been the recipient of Rocky Mountain University of Health Professions Outstanding Alumnus Award and Franklin College Distinguished Alumni Award where he received his doctoral and undergraduate degrees respectively.
Title: Cutting Through The Hype: What You Need To Know About Artificial Intelligence Abstract:This talk will cut through the hype around artificial intelligence (AI) and help the audience better understand what they need to know about the state of AI today. Included in the discussion will be examples of AI in action and the value it can drive, what AI can and can’t do today, how AI differs from (and is similar to) other analytics approaches, tips on getting started, and perspectives on the future of AI. The aim of the presentation is to be both educational and thought provoking. Bio: Bill Franks is IIA’s Chief Analytics Officer, where he provides perspective on trends in the analytics and big data space and helps clients understand how IIA can support their efforts and improve analytics performance. His focus is on translating complex analytics into terms that business users can understand and working with organizations to implement their analytics effectively. His work has spanned many industries for companies ranging from Fortune 100 companies to small non-profits. Franks is the author of the book Taming The Big Data Tidal Wave (John Wiley & Sons, Inc., April, 2012). In the book, he applies his two decades of experience working with clients on large-scale analytics initiatives to outline what it takes to succeed in today’s world of big data and analytics. Franks’ second book The Analytics Revolution (John Wiley & Sons, Inc., September, 2014) lays out how to move beyond using analytics to find important insights in data (both big and small) and into operationalizing those insights at scale to truly impact a business. He is an active speaker who has presented at dozens of events in recent years. His blog, Analytics Matters, addresses the transformation required to make analytics a core component of business decisions.
Title: Creating an Analytics Team in an Ever Evolving World Abstract: This talk with focus on what the speaker believes to be the four most important aspects of creating a team: 1. Set the Vision - what do you want the team to be known for? These are the things you want to be able to say you accomplished together as a team - you need a solid understanding of where the market and industry is going to set the appropriate vision. 2. Define the Culture - cultivate a community. When a group of people, a team, feel connected, like a family, they will do better and be better. 3. Build the Team - what talent should you be recruiting to help you achieve your vision? Make sure you also focus on developing your existing talent. 4. Be a Leader - every team has a lead, but great leader motivates their army to want to follow them even when things get tough. Bio: Sandy Steiger is Vice President of Analysis at 84.51°. She has held many roles within the dunnhumby and 84.51° organizations over the last thirteen years, all quantitative roles focused on telling the customer story through data science and insights. Sandy has been involved in helping to shape the data + analytics revolution at 84.51°, cultivating a curious Analytics Community, and bringing customer data to life through storytelling. Prior to 84.51°, Sandy received her Masters of Science in Statistics from Miami University in Oxford, Ohio, and her Bachelors of Science in Mathematics and Business Administration from Mount St. Joseph University.
Bio: Cheryl Wiebe leads Industrial Intelligence, an analytic solutions practice that formed from her work initiating the Analytics of Things practice within Teradata. Helping companies pursue digitization has been central to her work over the past 20 years, consulting with global 1000 clients who are embedding and operationalizing analytics at scale into industrial internet, connected mobility, connected factory, connected supply chain, and other emerging settings such as smart cities. She is deeply involved in painting the vision for the use of advanced and predictive analytics in emerging digital businesses leveraging IoT and increasingly connected devices, and has become a trusted advisor to clients who are pursuing their Internet of Things journey.
Title: “The Rise of Analytics in Baseball Decision Making”, Bio: Nick Krall enters his 16th season with the Reds and his second as Vice President, Assistant General Manager. In his role, he assists President of Baseball Operations/General Manager Dick Williams with all day-to-day Major League operations, which include administration, arbitration, contract negotiations, rules and waivers compliance, and player acquisitions. Krall also oversees the Professional Scouting department and the Baseball Operations Intern program, which has led to numerous former interns finding employment in the baseball industry. Additionally, he works closely with the Amateur Scouting, Analytics and Player Development departments.
Title: Storytelling: The Last Mile of Analytics Abstract: Your goal as an analyst is simple: Use the tools, data, and skills at your disposal to extract insights and prescribe action. But how do we ensure that those who will implement those findings will take that action? Telling a compelling story and engaging the emotions of our audience is critical. In this session we will explore why stories work, and how to construct and tell a story that will increase your chances of successfully influencing your organization. Bio: 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 technologist, 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 in Cincinnati.
Title: Worldpay Case Study: Driving Operational Insights with (Big) Data Abstract: Think about the challenge of processing millions of debit and credit card authorizations every day while simultaneously fielding thousands of phone calls from your customer base– 7X24X365. Doing the processing is hard enough, but how do you capture the critical data for reporting and alerting decision makers quickly? This is the problem Vantiv, now Worldpay continues to tackle. In the last few years, the Operations department has gone from Excel “stop light” reporting to a series of automated business intelligence dashboards. These dashboards have been designed to serve business leaders and high level executives from several key areas. These include the Customer Contact Center, Card Production, Disputes Management, Fraud Management, and much more. Using new big data capabilities, along with proven visualization and business intelligence techniques, Vantiv, now Worldpay, automates the processing of millions of rows of data every day to show key business metrics. This discussion walks through the challenges, insights, and lessons learned of building this operational platform. It also takes a look at the output from both a business and technical perspective. During the discussion, challenges, insights and key lessons learned will be highlighted. Bio: Debbi Young is the Cincinnati Data and Analytics Practice Lead for Centric Consulting. She has over 30 years of experience in program management, technology, and driving value with data. Debbi worked as the Program Lead for Vantiv, now Worldpay for the design, development and deployment of the operational solution.
Title: Worldpay Case Study: Driving Operational Insights with (Big) Data Abstract: Think about the challenge of processing millions of debit and credit card authorizations every day while simultaneously fielding thousands of phone calls from your customer base– 7X24X365. Doing the processing is hard enough, but how do you capture the critical data for reporting and alerting decision makers quickly? This is the problem Vantiv, now Worldpay, continues to tackle. In the last few years, the Operations department has gone from Excel “stop light” reporting to a series of automated business intelligence dashboards. These dashboards have been designed to serve business leaders and high level executives from several key areas. These include the Customer Contact Center, Card Production, Disputes Management, Fraud Management, and much more. Using new big data capabilities, along with proven visualization and business intelligence techniques, Vantiv, now Worldpay, automates the processing of millions of rows of data every day to show key business metrics. This discussion walks through the challenges, insights, and lessons learned of building this operational platform. It also takes a look at the output from both a business and technical perspective. During the discussion, challenges, insights and key lessons learned will be highlighted. Bio: Grant Rowan manages the Data Informatics team supporting the Operations division of Vantiv, Now Worldpay. Grant has 12+ years of experience in reporting and analytics and has spent the last 10 years of his career with Vantiv, now Worldpay. Grant’s team is responsible for developing and delivering automated reporting as well as the creation of self-service data solutions for 20+ functional areas throughout Operations at Vantiv, now Worldpay.
Title: Applications of Advanced Analytics in the Supply Chain Abstract: This talk aim introduces applications of advanced analytics in the supply chain and how the new wave of decision engines enabled by data, technology, and algorithms are transforming businesses. Traditionally, supply chain decision making is influenced by enterprise package solutions that solve a specific set of problems. In the digital age, ability to leverage data and create differentiated business and service models is a key competitive advantage and in many cases a necessity for relevance, e.g., Retail. With the advent of Big Data and Enterprise Data Lake hosting a variety of data across business functions, the decision support landscape is evolving from few sets of software solutions to algorithmic science and Big Data technology that mine, analyze and generate insights from the data that are used for day to day decision making. The talk touches upon statistical learning methods and AI techniques that can be leveraged to solve real-world business problems, providing a framework for the audience to further think about potential applications of these techniques to their specific business problems. Bio: Sivakumar Lakshmanan (Siva) is a business leader experienced in building world-class consulting organizations focused on Analytics. He runs the forecasting and supply chain business for Antuit; a Goldman Sachs backed analytics firm. He focuses on helping Antuit’s clients make better decisions in the digital age leveraging data and science. Before joining Antuit, Siva was a managing director at Insycn, a supply chain analytics start-up servicing clients in Retail, CPG, logistics, and commodity industries in Australia and New Zealand. Siva had also consulted for multiple clients as part of IBM global consulting group, where he was responsible for solution sales and implementation of enterprise supply chain planning, network design, inventory optimization, and visibility solutions. Siva’s passion is in solving real problems with advanced analytics – machine learning, Big Data, and technology. Siva holds a Bachelors in Computer Science Engineering, and an MBA specializing in Operations and Supply Chain.
Title: Applications of Advanced Analytics in the Supply Chain Abstract: This talk aim introduces applications of advanced analytics in the supply chain and how the new wave of decision engines enabled by data, technology, and algorithms are transforming businesses. Traditionally, supply chain decision making is influenced by enterprise package solutions that solve a specific set of problems. In the digital age, ability to leverage data and create differentiated business and service models is a key competitive advantage and in many cases a necessity for relevance, e.g., Retail. With the advent of Big Data and Enterprise Data Lake hosting a variety of data across business functions, the decision support landscape is evolving from few sets of software solutions to algorithmic science and Big Data technology that mine, analyze and generate insights from the data that are used for day to day decision making. The talk touches upon statistical learning methods and AI techniques that can be leveraged to solve real-world business problems, providing a framework for the audience to further think about potential applications of these techniques to their specific business problems. Biography: Arash Sangari is a data scientist and AI researcher with more than 10 years of experience in building innovative, and intelligent systems for robotics, decision support, and complex dynamical systems. He leads data science capability within the Antuit Digital Supply Chain business. Before joining Antuit, Arash was a senior signal processing engineer in a 3M corporate research lab working with several divisions in 3M to bring innovative machine learning and signal processing techniques to improve 3M businesses and products, and he has submitted 10 patents during this involvement. Research and development in multi-disciplinary teams and bringing AI and ML tools to help with problems of different fields has been the focus of Arash’s career. He has a Ph.D. in Signal Processing from the University of Wisconsin-Madison.
Monday, May 14, 2018 - Wednesday, May 16, 2018 8:00 AM - 4:30 PMEastern Time
Sharonville Convention Center11355 Chester RdCincinnati, Ohio 45246USA+1 513-771-7744
UC Center for Business Analytics