June 19-22, 2017
Chicago, IL
Delivering on the promise of data science
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Speakers Predictive Analytics World Chicago 2016
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.

Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.

He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Sessions: The Revolution in Retail Customer Intelligence
Q&A: Ask Dean and Robert Anything (about Best Practices)

 Shavar Beckford

Shavar Beckford

Data Scientist

Allstate

Shavar Beckford is a Data Scientist at Allstate. He currently focuses on total loss modeling for auto claims. Shavar also has experience using analytics to drive business decisions in industries such as entertainment and healthcare. He holds a Master of Science in Computer Science from Loyola University, Chicago.

Session: Agile Methodologies for Data Science Projects

 Karan Bhalla

Karan Bhalla

VP, Analytics

EXL Analytics

Karan is responsible for the development and implementation of the IQR (an EXL Analytics company) services, marketing and business strategies worldwide. At IQR Consulting, now a part of market leader EXL Analytics, he has led complex consulting engagements for banks and credit unions. He has 16 years of experience in Financial Services but he has been instrumental in leading IQR to expand its expertise and best practices to other industries as well. He is a graduate in Management Information Systems from Virginia Tech and an MBA in Finance from the University of Maryland. He started his career spending 6 years at Capital One in their data analysis & credit review functions. He has also been a consultant at some top organizations like Fannie Mae, American Express, and British Telecom. Karan has spoken about usage of analytics at many international conferences.

Session: Evaluate A Marketing Campaign's Success Using Uplift Modeling

 Richard Boire

Richard Boire

Senior Vice President

Environics Analytics

Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. 

His initial experience at organizations such as Reader’s Digest and American Express allowed  him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.

With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering  analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.


Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. 

Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW).  His written articles have appeared in numerous Canadian  publications such as  Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was  Chair at the CMA's Customer Insight and Analytics Committee and  sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the  2002 Database and Technology Seminar and the first-ever Customer Profitability Conference  in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.

He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability:  The State of Evolution among Canadian Companies."  In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian.  In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.

Session: Demystifying the Confusion of Big Data in Customer Level Predictive Analytics Solutions

 Bob Bress

Bob Bress

VP, Analytics & Business Intelligence

Visible World, a division of Comcast Cable

Bob Bress is Vice President of Analytics & Business Intelligence in a division of Comcast Cable focused on advanced advertising technologies. In that role he leads teams of data science and analytical staff focused on using their expertise to lead the development of the next generation of advanced targeted advertising products for
television. Bob has over 15 years of analytics experience across industries including work in hospitality, energy, and at GE's Global Research Center in the Applied Statistics Lab.


Bob holds undergraduate and graduate degrees in Industrial Engineering and Operations Research & Statistics from Rensselaer Polytechnic Institute.

Session: Pricing Prediction for Advanced TV Advertising

 Eugene Choi

Eugene Choi

Predictive Analytics

Zurich North America

Eugene has developed a comprehensive set of strategies and solutions that drive top-line growth, and productivity and profit improvements at leading insurance carriers and diversified financial institutions. Eugene's expertise includes pricing and claims analytics, visualization solutions, process re-engineering and organization design. Prior to Zurich North America, Eugene was previously with AT Kearney and two Big Data analytics start-ups.

Eugene received his BS in civil engineering from the University of Illinois

and earned his MBA from Carnegie Mellon University.

Session: Data Science in the Insurance industry -- Is There Still an Arms Race?

 Alice Chung

Alice Chung

Sr. Manager

Genentech

Alice is a Sr. Manager at Genentech supporting cross-functional, cross-portfolio field and marketing teams in long term strategy formulation, scenario planning, insights and analysis, program design and implementation. She spent 7.5 years of her career in management consulting at USA and International level before joining Genentech. Since 2006, Alice has participated in several conferences as a speaker, facilitator, and panelist to share best practices and innovative programs incorporating use of advanced technologies and analytic methodologies.

Session: Utilizing Advanced Analytics to Generate Insights

 Lawrence Cowan

Lawrence Cowan

Partner

Cicero Group

Lawrence is a Partner at the Cicero Group, a leading data-driven strategy consulting firm located in Salt Lake City, UT. Lawrence has spent the last eight years building Cicero's analytics practice where he has experience helping Fortune 500 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. Lawrence is also an expert in choice modeling (choice-and menu-based conjoint), having successfully deployed and implemented more than 50 studies in his career at Cicero, relying upon Hierarchical Bayesian and Latent Class analysis to derive accurate market based scenarios. Lawrence holds a Master's of Science in Predictive Analytics from Northwestern University, an MBA with an emphasis in Business Economics from Westminster College, and a BA from Brigham Young University.

Session: Data driven selling: Enabling a direct salesforce with tools that re-enforce predictive selling methods

Dr. John Elder

Dr. John Elder

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

Special Plenary Session: Doing Space-Age Analytics with Our Hunter-Gatherer Brains

 Robert Grossman

Robert Grossman

Partner

Open Data Group

Robert L. Grossman has been building and deploying predictive models for over 20 years.  He is the Founder and Chief Data Scientist at Open Data Group, which develops technology for deploying predictive models. He is also a partner at Analytic Strategy Partners, which provides consulting in the strategy and practice of analytics.  He is the Frederick H. Rawson Professor of Medicine and Computer Science and the Director of the Center for Data Intensive Science (CDIS) at the University of Chicago, where he focuses on the applications of data science to problems in biology, medicine and health care.  He has been involved in the development of standards for analytics, including the Predictive Model Markup Language (PMML) and the Portable Format for Analytics (PFA).

Sessions: Best Practices for Deploying Analytic Models into Operations
Q&A: Ask Dean and Robert Anything (about Best Practices)

 Gitali Halder

Gitali Halder

Analytics Manager

Hewlett-Packard

Gitali Halder is a Data Science Lead in Americas Region, Hewlett-Packard Enterprise. She has 10 yrs of Analytics experience in statistical analysis and predictive modeling in Banking, Credit Cards, Retail and IT industries.

She is responsible for pre sales, business development, solution design and delivery of Analytics and Data Science opportunities for the Americas region within HP Enterprise Analytics and Data Management.

Prior to joining HP, she worked with JP Morgan Chase and Fractal Analytics. She has a Master degree in Economics from Delhi School of Economics.

Session: Retail Shrink Prediction to Improve Store Operation Efficiency

 Mark Heiler

Mark Heiler

Data Scientist

Paychex Inc.

Mark Heiler is a data scientist at Paychex Inc., a leading provider of payroll, human resource, insurance, and benefits outsourcing solutions for small- to medium-sized businesses. Mark's role is creating statistical and predictive models to assist in a wide array of business needs, including: text analysis, predictive retention/upsell models, and statistical inference on the effect of business decisions. Mark received his Master's degree in Biostatistics from University at Buffalo, where he focused on using machine learning techniques for classification on high-throughput biological data.

Session: Predicting Employee Churn with Anonymity

 Josh  Hemann

Josh Hemann

Director - Analytic Services

Activision

Josh Hemann is a Principal Statistician in Activision’s Game Analytics Team, where he builds analytic services that support video game development studios. His industry experience in analytics spans diverse settings such as oil and gas exploration, aerospace, retail loyalty programs, recommendation systems for grocers, and massively multiplayer on-line games. Throughout these settings he has appreciated how much effective visual communication is critical for influencing decisions made by scientists and executives alike. Josh has an MS in Applied Mathematics from the University of Colorado at Boulder where he maintains involvement in air pollution research.

Keynote : Rethinking Analytics in a Service-Oriented World

 Hsing-Chien Kao

Hsing-Chien Kao

Data Consultant

Incendo

Hsing-Chien Kao (Cindy) works as a data consultant for Incendo, an information Technology and Services company. Cindy graduated from University of Illinois at Chicago with PhD in Information Science with Business Statistics Inquiry. Cindy has 6 years of industry experience working as statistician/data scientist/consultant for SSaS company and consultant firm such as DemandTec, IBM, and North Highland. She has been working mainly in providing solutions for different industries using statistical method combined with engineering skill. Her expertise is in data analysis and predictive modeling, especially in big data and unstructured data.

Session: Utilizing Advanced Analytics to Generate Insights

 Deep Khadka

Deep Khadka

Senior Data Scientist, Analytics and Insights

EMC Corporation

Deep Khadka is a Senior Data Scientist for Total Customer Experience Analytics and Insights (TCE A&I) Team at EMC Corporation. Deep and his team focus on research-driven Data Science projects, utilizing in-house Big Data Platform, to help make better decision on enhancements of future product releases and drive positive impacts on the end-to-end customer journey. This team helps TCE A&I identify customer behavior patterns, performance risks, competitive threats and market opportunities from a customer perspective; leveraging Data Analytics and Science.

Deep comes with extensive enterprise experience on Data Architecture, Data Modeling, Data Warehousing, Business Intelligence, Data Analytics and Data Science with past work experience at Verizon and Blue Cross Blue Shield (BCBS).

Session: The Power of Predictive Analytics to Strengthen B2B Customer Relationships

 Mahesh Kumar

Mahesh Kumar

Founder & CEO

Tiger Analytics

Mahesh Kumar is the Founder & CEO of Tiger Analytics. Mahesh started Tiger Analytics in 2011 with a desire to bring his experience in management science to help organizations achieve superior performance through the application of advanced analytics. Tiger Analytics is one of the fastest growing companies in the analytics space, with a team of 120+ data scientists and engineers working out of the US and India solving complex business problems in the areas of marketing science, customer analytics, and operations & planning analytics for its clients in various industries.Prior to founding Tiger Analytics, Mahesh was on the faculty of Smith School of Business, Rutgers Business School and MIT Sloan School of Management. He has conducted research in the areas of data mining and statistical modeling and has successfully applied it to solve problems related to forecasting, pricing, promotions, and customer segmentation.Mahesh holds a Ph.D. in Operations Research and Marketing from MIT Sloan School of Management, and a B.Tech. in Computer Science from IIT Bombay. Mahesh currently lives in the Silicon Valley with his wife and son and visits India frequently to work with his team in Chennai.

Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It

 Michael Li

Michael Li

CEO

The Data Incubator

@thedatainc

Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, and routinely accepts just 1% of applicants. Employers engage with the Incubator as hiring partners.

Previously, Michael worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events. You can find out more at www.thedataincubator.com.

Session: Data Science Mindset for the Rest of Us

 Lisa Middleton

Lisa Middleton

Director of Marketing

Lyric Opera of Chicago

Lisa Middleton is the Director of Marketing at Lyric Opera of Chicago, with more than 20 years experience in all aspects of marketing and development. She manages pricing, revenue management, direct marketing, advertising/promotions and social/digital media for Lyric. Using information gleaned from analysis, Lisa guides the strategic development of database segmentation, pricing analysis and model building with an eye to maximize revenue and increase patron engagement.

Session: The Perfect Ensemble - Predictive Analytics and the Performing Arts

 Shawn Murphy

Shawn Murphy

Global Director, Analytics and Insights

EMC Corporation

As Global Director, Shawn leads the Total Customer Experience (TCE) Analytics and Insights Program for EMC, a global leader in enabling businesses and service providers to transform their operations and deliver information technology as a service (ITaaS). A proven leader, Shawn's been engaged in a wide range of high tech roles including product engineering, customer engagement and professional services.

The TCE team uses Big Data via a holistic listening culture, analytics and data science to identify customer and product performance risks, market opportunities and competitive threats as it relates to EMC customer loyalty. Shawn is responsible for delivering business value by providing actionable insights, through advanced analytics, to determine drivers & trends that impact the Total Customer Experience.

Session: The Power of Predictive Analytics to Strengthen B2B Customer Relationships

 Daniel Porter

Daniel Porter

Co-Founder

BlueLabs

Daniel Porter is the cofounder of BlueLabs, a Washington DC based analytics, data and technology company whose clients include political campaigns, nonprofits and corporations.

Prior to founding BlueLabs, Daniel was Director of Statistical Modeling for the 2012 Obama reelection campaign. His team developed individual level statistical models that were used throughout the campaign for fundraising, media buying and state strategy. These models served two primary purposes: to pinpoint which voters were most likely to take an action or hold a belief (i.e. support the President or turn out to vote) as well as to measure the influence a campaign contact had on an individual's likelihood to take such actions or change their beliefs. Combined, these measures helped the campaign optimize their targeting to maximize their return on investment.

Keynote: Persuasion Modeling in Presidential Campaigns and How It Applies to Business

 Steven Ramirez

Steven Ramirez

CEO

Beyond the Arc

@beyondthearc

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Session: How Well Do You Really Know Your Customer?

 Pasha Roberts

Pasha Roberts

Co-Founder and Chief Scientist

Talent Analytics, Corp.

@pasharoberts

Pasha Roberts is chief scientist at Talent Analytics Corp., a company that uses data science to model and optimize employee performance in areas such as call center staff, sales organizations and analytics professionals. He wrote the first implementation of the company’s software over a decade ago and continues to drive new features and platforms for the company. He holds a bachelor’s degree in economics and Russian studies from The College of William and Mary, and a master of science degree in financial engineering from the MIT Sloan School of Management.

Session: Self-Organizing Job Paths: Markov Chains, Predictive Models and More

 Thomas Schleicher

Thomas Schleicher

Sr. Director, Measurement Science

National Consumer Panel

Thomas Schleicher is a results-focused executive with nearly 20 years of experience in delivering actionable, data-based insights and profit-optimizing results for various high-profile clients across multifaceted, competitive industries. He is currently Senior Director of Measurement Science at National Consumer Panel, a joint venture of Nielsen and IRI. NCP is the largest longitudinal consumer panel in the world, and it provides the quality data its parent companies leverage to share consumer insights with their respective clients.

Prior to his current role, Tom has had stints at Ipsos-ASI, Bayer HealthCare (Pharmaceuticals), and smaller analytic shops including Symphony Marketing Solutions and Spire, a Loyalty Marketing Analytics firm. Trained as an Experimental Social Psychologist (Ph.D. earned at the University of Wisconsin - Milwaukee), he is currently augmenting his statistical and social research methods expertise as he nears completion of his online Certificate in Predictive Analytics at UC-Irvine.

Session: Using Predictive Analytics to Optimize Organizational KPI's: A Panel Market Research Case Study

 Babacar Seck

Babacar Seck

President

LEADS AEROSPACE

Avid traveller, coffee drinker, car sports follower, cinephile, and techie. I have a passion for bringing products to life and turning ideas into reality. I'm currently focused on developing start up companies that create substantial value by attracting and federating highly skilled and motivated people and partners around innovative projects.

I'm currently leading a high technology company specialized in developing innovative and secure mobile communications solutions using the most advanced satellites constellations and ground networks. Our primary market is Aviation - Air transportations Industry, Defense and Aerospace.

With nearly 18 years developing strategic innovative projects applied to Information technology, mobile telecom services and critical satellites communications solutions for leading European companies, my experience ranges from business planning to strategic implementation through cross-functional leadership positions.

 Satadru Sengupta

Satadru Sengupta

General Manager of Insurance

DataRobot

Satadru Sengupta is a Senior Engagement Director, Data Science at DataRobot. In this role, Satadru leads the data science engagement team in the US East Region and he works hands-on with the organizations in the NYC area (healthcare, financial and insurance industry) to integrate DataRobot machine learning platform in their problem-solving environment. Previously, Satadru worked with AIG Science Team as a Senior Manager leading quantitative modeling for global distribution. Prior to that, he worked with Liberty Mutual Insurance and Deloitte Consulting. Satadru holds a Master of Science in Actuarial Science and a Master of Science in Statistics. Satadru lives in Washington, D.C. with his wife.

Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It

 Naveen Singla

Naveen Singla

Director of Analytics

Monsanto

Naveen Singla is Director of Analytics at Monsanto. The Analytics team is developing predictive and prescriptive analytic solutions to improve decisions across Monsanto's entire value chain.

Naveen has been with Monsanto for 5 year and has worked on development and deployment of a predictive pipeline for R&D organization and has grown the IT analytics capabilities to impact Supply Chain, Commercial and Customer.
Prior to joining Monsanto, he worked on development of HPC systems for high-frequency securities trading, algorithms for high-speed text mining and machine learning solutions for human biometric recognition.

Naveen received his B.Tech. in Electrical Engineering from Indian Institute of Technology in Delhi, India and Ph.D. in Electrical Engineering from Washington University with focus on designing Bayesian inference algorithms for data transmission over noisy communication channels. He enjoys spending time with his wife and two daughters and likes reading books on the history and evolution of Mathematics.

Session: Neurons or Transistors? How Monsanto Is Using Predictive Analytics for Sales Forecasting to to Drive Decisions

 Bob Wood

Bob Wood

Senior Director, Advanced Analytics & Research

Merkle

Bob Wood serves as Merkle's Senior Director â€" Advanced Analytics & Research. He and his team have been involved in numerous analytic and insights projects to support global brands such as MetLife, UnderArmour, Dell, Warner Brothers and Assurant, to help them market more effectively and more efficiently. In addition to having 17 years of leadership experience in research and analytics, Bob has a BS in Math & MS in Applied Math from BYU, MS in Statistics from Wichita State, an MBA from the Marriott School of Management, and is currently a doctoral candidate focusing on consumer psychology at Wichita State University.

Session: A Better Approach to Driver Analysis

 Toshi Yumoto

Toshi Yumoto

Director, Data Science, Enterprise Business Intelligence

Comcast

Toshi has over 15 years of experience in quantitative research, measurement and psychometrics with emphasis on research design, program evaluation, data mining and predictive modeling to help marketing organizations better utilize research and analytics to drive their customer-centric strategies. Dr. Yumoto has been published and presented in over 50 academic journals and currently serves as a professional reviewer for PLoS ONE, Journal of Alzheimer's and Dementia, and Journal of Research in Nursing and Health. Dr. Yumoto has a Ph.D. from the University of Maryland College Park in Measurement, Statistics and Evaluation and a master's from Adler School of Professional Psychology in Counseling Psychology.

Session: A Better Approach to Driver Analysis

 Boris Zibitsker, Ph.D.

Boris Zibitsker, Ph.D.

CEO

BEZNext

Started out as engineer at Computer Systems Research Institute working on modeling of computer systems and developing scheduling and storage management optimization algorithms.

• Capacity management departments at FNBC and CNA Insurance company in Chicago
• Founder, CEO, CTO and Chairman of BEZ Systems (1983 - 2010), acquired by Compuware in 2010
• CTO of Modeling and Optimization at Compuware (2010-2013)
• Founder and CEO of BEZNext (2011 - present)
• Manage development of the modeling and optimization software supporting capacity management of mix workloads in multi-tier, distributed, virtualized, parallel processing systems, including Big Data Clusters, Teradata, Oracle, DB2 and Application servers
• Applied Machine Learning algorithms for performance and availability problem detection, root cause analysis and risk prediction for internet and cloud computing applications
• Consulted many of Fortune 500 companies
• Taught seminars and presented at conferences in North and South America, Europe, Asia, and Africa
• Current focus is on developing technology and providing services and education in Performance Assurance for Big Data Applications and Data Warehouses. It includes Software Performance Engineering for new applications and Dynamic Capacity Management for production environment.
• MS and PhD research at BSUIR and NIIEVM
• Taught graduate courses on Modeling of Computer Systems, Queueing Theory with Computer Applications, Computer Communication Systems Design and Analysis at DePaul University in Chicago
• Taught seminars at Northwestern University, University of Chicago and Relational Institute
• Author of papers on modeling, performance prediction, workload characterization, performance management, workload management and capacity plan.

Expert Panel: Data Prep: Overcoming the Bottleneck and Nailing It

 Tanya Zyabkina

Tanya Zyabkina

Director of Marketing Analytics

Time Warner Cable

Tanya Zyabkina is Director of Marketing Analytics at Time Warner Cable responsible for general, retention, and pricing analytics. She has over 10 years of experience in marketing analytics in telecommunication and retail industries, assessing effectiveness of marketing programs and providing recommendations for improvement. Her expertise in unveiling the drivers of consumer behavior through both market research and transactional analysis helps companies optimize their marketing efforts. She is most passionate about designing ways to assess true incremental impact of the programs, making definitive conclusions, and creating analytical outputs friendly to the decision makers. Prior to Time Warner Cable, Tanya's engagements included AutoZone and Limited Brands.

Session: Sales Attribution, Lessons from the Non-Digital World

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