PredictiveAnalytics Innovation

Gain greater insight with data science

November 14 & 15, 2013Swissotel, Chicago, IL

Confirmed Speakers

Confirmed Speakers

• Senior Strategic Analyst, Dish Network• Principal Data Scientist, BitTorrent• VP, Audience Insights, TiVo• SVP, OfficeMax• Talent Management, Unilever• Director, Operations Research, McDonald’s• Senior Analytical Lead, Google• VP, IT & Analytics, UniFund• SEO & Analytics Architect, AT&T• VP, People Insights, ConAgra Foods• Economist, Microsoft Research• Principal Data Scientist, ShareThis• Director, Predictive Analytics, Quintiles• Predictive Analytics Scientist, MedeAnalytics• Director, Analytics, Starcom MediaVest Group

• Global Analytics Lead, Monsanto• Data Scientist, Trulia• Principal Data Scientist, Linkedin• Data Scientist, Linkedin• Analytics Engineer, Rent The Runway• Senior Data Scientist , Blizzard Entertainment• Principal Analyst, Sonalyst• Senior Machine Learning Scientist, Amazon• Director, People Analytics, AbbVie• VP, Algorithms, Jawbone• Predictive Analytics Manager, Riot Games• Data Scientist, Airbnb• VP, CRM and Customer Analytics, Luxottica• Sr. Director, Customer Analytics, Luxottica

Past Delegates Include• VP, Analytics - The Home Depot

• Senior Data Analyst - Panasonic

• SVP, Analytics - CitiGroup

• Sr Manager, BI - Expedia

• Vice President, Analytics - Coca-Cola

• Director, Risk - American Express

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level execut ives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

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The Predictive Analytics Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.Predictive Analytics has been identified by Forbes as a key priority for top CIO's in a recent study; in order to gain an advantage over competitors, investment in analytics offers modern businesses greater insight into their customers, competitors and the market.The event will be split into 2 tracks - one aimed at a more general audience of all levels, and second track for high level practitioners in the industry.

We will be having sessions on Social Media Analytics, Healthcare Analytics & HR Analytics amongst others.

Topic areas include:

- Prediction in The New Digital World- Social Data & Relevance of "Connections"- Text Analytics & Unstructured Data- Predicting Consumer Behavior- Uplift Modeling- Ensemble Models

About The Summit

Confirmed Speakers Rainer DronzekDirector, Operations ResearchMcDonald’s

Rainer Dronzek is the Director of Operations Research at the McDonald’s Corporate Innovation Center. The group provides designers, engineers, operators and management with analytics services and tools for the company’s 34,000 restaurants in 118 global markets. In addition to conducting observation studies in restaurants, Operations Research employs predictive modeling, video ethnography, data mining and other analytics techniques to process data and generate insights.

David Rothschild is an economist at MSR-NYC. He has a Ph.D. in applied economics from the Wharton School of Business at the University of Pennsylvania. His primary body of work is on forecasting, and understanding public interest and sentiment. Related work examines how the public absorbs information. He has written extensively, in both the academic and popular press, on polling, prediction markets, and predictions of upcoming events; most of his popular work has focused on predicting elections and an economist take on public policy. After joining Microsoft in 2012 he has been building prediction and sentiment models, and organizing novel/experimental polling and prediction games; this work has appeared on both Bing and Xbox. And, he correctly predicted 50 of 51 Electoral College outcomes in February of 2012.

Forecasting: Are we asking the right question?

For over 75 years survey research has been relatively static; ask a random sample from a representative group of users or a focus group what they would do and report the result. I demonstrate how survey research can be more efficient for creating both a snapshot of the present and forecasts of the future, with new questions and accompanying methodology that can utilize more cost effective non-representative samples. The resulting snapshots and forecasts are not only more accurate than standard methods, but more timely and granular, relevant for the stakeholders, and more cost effective. Combined with a nascent growth in our ability to harness social media other new data sources, I will help explain the transform of market research that will happen next few years.

David RothschildEconomistMicrosoft Research

Deploying Predictive Analytics

The use of predictive analytics by research departments is a valuable part of a company’s decision support framework. Making predicative tools available to a broader audience in the organization raises the level of awareness of the value of analytics and increases the likelihood of their impact. Mr. Dronzek will present examples of how advanced analytics are applied at McDonald’s and how predictive models have been deployed beyond their typical user base.

Speaker Information

Matt Seitz is a Senior Analytical Lead at Google. In this role Matt helps clients set strategy and optimize their digital marketing efforts across Google’s many advertising platforms. Before coming to Google Matt held various roles at Abbott Laboratories and McDonald’s Corporation. Matt has an MBA from Northwestern’s Kellogg School of Management and a Bachelors from Miami University.

Matthew SeitzSenior Analytical LeadGoogle

Frank TingleySenior Strategic AnalystDish Network

Frank Tingley is a Senior Strategic Analyst within the Marketing Analytics group at DISH Network. Frank is responsible for strategic forecasting and development of predictive intelligence of all of new acquisition marketing efforts using a mix of statistical modeling, methodical data exploration, and behavioral economics to draw insights and recommendations for the entire DISH organization.  Prior to DISH, Frank held various analytical roles at Square 1, a Venture Bank financing Venture-Capital backed start-up companies. Frank has an MBA with a concentration in

Jeffrey A. Shaffer is the Vice President of Information Technology and Analytics at Unifund. Mr. Shaffer joined Unifund in 1996 and has been instrumental in the creation and development of the complex systems, analytics and business intelligence platform at Unifund. Mr. Shaffer holds a BM and MM 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. Mr. Shaffer has attended the Harvard Business School’s Executive Education Program, is a Certified Manager of Quality and Organizational Excellence through the American Society for Quality, a Certified Project

Management Professional through the Project Management Institute and has completed Six Sigma Green Belt and Black Belt training with the Xavier Consulting Group.

Picture This: Using Data Visualization to Transform Data into Meaningful Information

From the fundamentals of data visualization through advanced interactive visualizations, we will examine best practices and not-so-best practices for creating charts, graphs, reports, presentations, dashboards and scorecards using real-world examples.   We will examine how "interactive" brings life into the world of data visualizations and some tools used to build them.

Jeff ShafferVP, IT & AnalyticsUnifund

Business Analytics and Finance from Indiana University's Kelley School of Business and a Bachelors degree from The Citadel.

Demand Forecasting: Reconciling Seasonality Vs Marketing Efforts

One of the strongest tools in predictive intelligence is forecasting demand of a product or service. However, there are two connected forces that make forecast-driven strategic decision-making difficult to implement: passive demand, including seasonality and cyclicality, and active demand, including marketing activities, product innovations, and pricing & promotions efforts. We will explore how to best predict and analyze these concurrent effects.

Maximizing ROI from Digital Advertising

Digital media provides advertisers with new ways to understand market trends and consumer behavior. This data can be used to predict performance and respond to market signals earlier in the business cycle.   This presentation highlights an example of how Google’s data combined with analytics provided remarkable insights into the smartphone industry.

Stuart Crawford is the Vice-President of Algorithms in Jawbone’s Software division, where he focuses on the construction of predictive models using (mostly) machine-learning techniques. He joined Jawbone in 2012. Prior to Jawbone, he was VP of Core Research at FICO, a Director of Technology Development at Oracle Corporation, and a Senior Research Engineer at Apple Computer. He received both a masters and doctorate degree from Stanford University under the direction of Prof. Jerome Friedman, and his interests include machine learning, the transformation of decision trees into more interpretable

structures, information visualization, computationally intensive statistical techniques, and intelligent data analysis.

Predictive Analytics for Wearable Health & Wellness Devices

In this session Stuart will cover the groundbreaking work being carried out at Jawbone in predictive analytics at both a personal and aggregate level and throws a glance at the future of prediction in health and fitness.

Full Summary Coming Soon....

Stuart CrawfordVP, AlgorithmsJawbone

Speaker Information

Greg DePalma is Vice President of Audience Insights at TiVo Inc., where he consults with advertiser, agency, and network clients to increase commercial effectiveness in a DVR world. Previously, Greg worked as Senior Director, Brand Marketing at LendingTree, where he managed the brand, advertising, sports marketing and media. During his 18-year marketing and advertising career, Greg has worked at industry leaders like WPP's Millward Brown and Nielsen Media Research.

Greg De PalmaVP, Audience InsightsTiVo

Social TV Impact on Sales - Are We There Yet?

TiVo Research and Analytics has been investigating the impact of social, and especially social TV, on lift in sales for CPG products.   Case studies will review various social TV metrics across several CPG brands tied to any uplift in sales.  Sentiment analysis, volume, recency (sales response within 24 hours) and longer term effect on sales are examined in a model that ties social TV to each exact commercial by program episode, date and time.   The data is rolled up to identify patterns to place a value on social TV on sales.

Chaitanya Chemudugunta is a Senior Data Scientist at Blizzard Entertainment.   When not slaying monsters, his team builds predictive analytics models to solve business and game design problems.   Chaitanya earned his PhD from the University of California, Irvine where he specialized in machine learning.   His general areas of interests include machine learning, data mining, and statistics.

Chaitanya ChemuduguntaSenior Data Scientist, Blizzard Entertainment

Predictive Analytics in World of Warcraft

World of Warcraft (WoW) is one of the biggest massively multiplayer online role-playing games (MMORPG) in the world.   Similar to other MMORPGs, players control characters in a virtual world and fight monsters and complete quests to level up and gain in-game rewards.   In this presentation, Chaitanya will introduce the predictive analytics problems applicable to MMORPGs and discuss potential solutions with examples from WoW.   Topics of discussion include churn modeling, customer segmentation, fraud and text analytics.

Mark Berry is Vice President, People Insight s at ConAgra Foods, a 36,000 employee consumer packaged foods company with iconic brands such as Peter Pan, Orville Redenbacher, and Healthy Choice.   The mission of the People Insights organization is to provide data-driven insights that are compelling to business leaders and actionable by HR, providing significant, sustainable competitive advantage to ConAgra Foods.   This organization includes HR reporting, strategic workforce planning, advanced analytics, workforce intelligence, and user adoption.

The Promise (and Potential Peril) of Predictions Pertaining to People

Predictive analytics has broad application across myriad business functions and issues.  Use of predictive analytics in human resources affords organizations with both great promise and - if not judiciously executed - potential peril.  A company's ability to improve their hire  rate on successful candidates, identify high potential or high performing leaders, or predict and respond proactively to potential employee resignations are all valid uses of inferential statistical analysis.   However, these types of initiatives must be undertaken in ways that provide the required value to the organization while not compromising the organization's - and employees' - trust.   This workshop will overview one company's efforts to fully realize the benefits and mitigate risk in their use of predictive analytics.

Mark BerryVP, People InsightsConAgra Foods

Speaker Information

Greg Silverman is the CEO of Concentric, a software company that creates strategic simulations. An innovator and entrepreneur, who has worked in the marketing analytics field for over 15 years, Greg was previously the Global Managing Director for Analytics and Brand Valuation at Interbrand.   Greg also has a background in management consulting and served as a Principal at Price Waterhouse Coopers and as a Consultant at Management Horizons. Previous roles included Executive Vice President of California Closets, U.S. Country Manager, Latin America Group at Placas Do Parana (a Louis Dreyfus company), and General Merchandise Manager at Macy’s.

Greg SilvermanCEOConcentric

Simulation – the What’s Next in Predictive Analytics

Big Data was potentially the “Holy Grail” of predictive analytics as historical data was to finally be attached to granular, micro-targeted, monetize-able insights stemming from rigorous empirical foundations.   However, Big Data is failing because it has not been fused to a managerial vision about the way things are likely to work in the marketplace.   Concentric decision support systems solve the problem of the isolated and historical nature of Big Data. The software integrates data-driven insights   from across the entire brand journey   into one planning platform in order to predict how product development, marketing plans,   social networks   and corporate strategy all interact to create sustainable brand

Xin Fu is a Principal Data Scientist Lead at LinkedIn.   He and his team is responsible for driving product innovations through inferential analysis, measurement and reporting and online experimentation, as well as developing analytics platforms to enable effective decision-making at scale.  Xin holds a PhD in Human-Computer Interaction and a MS in Statistics from the University of North Carolina at Chapel Hill. Prior to joining LinkedIn, Xin worked at Google and Microsoft.  

Xin FuPrincipal Data Scientist, LinkedIn

Using A/B Testing to Drive Product Innovations

Controlled experimentation, or A/B testing, is a widely used scientific methodology to evaluate the impact of treatment on target population.   In recent years, all major consumer Web companies (e.g. Amazon, Ebay, Facebook, Google, LinkedIn, Microsoft) employ online experimentation to gain insights about customer reaction to features and products.  In this presentation, I will draw examples from published literature and own experience to discuss challenges and limitations associated with making product decisions based on online A/B testing in consumer Web settings.

Speaker Information

Dr. Nalini Polavarapu is Global Analytics Lead in R&D at Monsanto. Her group develops predictive models and optimization algorithms leveraging machine learning and operations research techniques to analyze big data to accelerate Monsanto’s product development.  Prior to that, she led Advanced Analytics and Workflow team that designed and optimized process flows implemented in Monsanto’s software systems.   Before joining Monsanto, Nalini applied machine learning and analytics to advance research in cancer biology and human brain evolution.

Nailini PolavarapuGlobal Analytics LeadMonsanto

The Role of Big Data and Analytics in Modern Agriculture

Produce more. Conserve more. Improve lives. That's Monsanto's vision for a better world.   Our seeds, biotechnology traits and herbicides help farmers improve productivity, reduce the costs of farming, and grow better foods for consumers and better feed for animals. To increase crop yields globally, data and analytics are being leveraged at every stage of the process from discovery through optimization of product performance in farmer's fields. Our newest product platform, Integrated Farming Systems, is the latest example of how we leverage analytics: it's designed to provide farmers with a valuable new approach to boost on-farm productivity while also supporting more sustainable agricultural systems for our increasing world population.

Renjie Li manages the predictive analytics team at Riot Games. The team uses advanced analytics and machine learning models to better understand and service League of Legends players worldwide. Before Riot, Renjie was a predictive analytics researcher at Blizzard Entertainment and received his Ph.D. in brain and cognitive sciences at the University of Rochester. Renjie is also one of the few doctors in the world whose Ph.D. study focused on gaming research.

Renjie LiManager, Predictive AnalyticsRiot Games

Predictive Analytics at Riot Games

In the past three years, League of Legends has rapidly grown to be the "most played PC game in the world" (Forbes). Massive amount of gaming hours generated massive amount of data. Making sense of this level of data is a challenge, particularly since “Big Data” is still a relatively new concept in the gaming industry.   In this presentation, Renjie will talk about why gaming industry needs analytics and the lessons & takeaways from expanding the analytics discipline. Renjie will also share how they use predictive analytics to improve League of Legends and go into detailed examples of how they empower and partner with other teams to improve players’ experience and make date informed decisions.

Daniel Joseph is currently responsible for the Talent Analytics CoE for Unilever N. America. His responsibilities are distributed into four buckets: data reporting, data forensics, forecasting & planning, and HR controller for indirect spend. Daniel holds a B.S. in Finance, MBA, and a M.S. in HR Strategy. He has been working with Unilever for six months. Unilever operates globally as a fast-moving consumer goods company. The company operates through four segments: Personal Care, Foods, Refreshment, and Home Care, of which, employs 173,000 employees with a Market Cap of ~$112.5B.

Daniel JosephTalent AnalyticsUnilever

The Simple Message from Fancy Math

Differentiating between feel-good projects and those activities that add quantifiable valuable has historically been challenging for HR professionals; in addition, where access to resources is competitive and non-discretionary spending is no longer status quo, investments in people, at minimum, most facilitate a mission critical activity. Creative workforce analytics lies at the intersection of this paradox. Under this lens, Avon has begun to map and quantify different activity systems within HR, e.g. succession and talent movement, critical role management, spans of control, et cetera. As a result, Avon’s talent management has become surgical at identifying previously unexploited opportunities and designing business-aligned pro forma strategies.

The Information

Silver Pass

$1595Access to all sessions &

networking event

$1395Early Bird Price(before Sept 6)

Diamond Pass

$2095Access to all sessions, networking events, annual subscription to IE.

membership & Strategic Analysis Report

$1895Early Bird Price(before Sept 6)

Gold Pass

$1895to all sessions, networking events &

annual subscription to IE. membership

$1695Early Bird Price(before Sept 6)

Registration Pricing

Predictive Analytics Innovation SummitDate: November 14 & 15, 2013City: ChicagoVenue: Swissotel ChicagoAccommodation: Online Reservation or call +1 888 737 9477

For larger groups or special requests contact Jordan by calling +1 415 992 7918 or email jdunne@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 415 992 7918 +1 323 446 7673 http://theinnovationenterprise.com/predictive-analytics-innovation-summit-chicago-2013

Group Discount Offers3 Silver Passes: $3300 ($1100 per attendee)5 Silver Passes: $4750 ($950 per attendee)3 Gold Passes: $4200 ($1400 per attendee)5 Gold Passes: $6250 ($1250 per attendee)3 Diamond Passes: $4800 ($1600 per attendee)5 Diamond Passes: $7250 ($1450 per attendee)

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Schedule

Networking Drinks 17.30 - 19.00

November 15

Session One 08.30 - 10.30

Coffee Break 10.30 - 11.15

Session Two 11.15 - 12.45

Lunch 12.45 - 13.45

Session Three 13.45 - 15.15

Coffee Break 15.15 - 16.00

Session Four 16.00 - 17.30

Day Two

November 14Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.45

Session Six 10.45 - 12.15

Lunch 12.15 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.45

Session Eight 15.45 - 16.45

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Sponsors

For sponsorship information contact Giles at ggb@theiegroup.com

Bronze Sponsor Panel Sponsor

Previous Exhibitors

Gold Sponsor

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Silver Sponsor

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TITLE OF EACH ATTENDEE DEPARTMENT

COMPANY INDUSTRY

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1. Delegate Information...

2. Pass Types...Early Bird Pass Options until September 6, 2013

Early Bird Silver: $1395 Attendees ____ Early Bird Gold: $1695 Attendees ____ Early Bird Diamond: $1895 Attendees ____

Regular Pass Options after September 6, 2013 Silver Pass: $1595 Attendees ____ Gold Pass: $1895 Attendees ____ Diamond Pass: $2095 Attendees ____

Group Discount Pass Options 3 Silver Passes $3300 ($1100 per attendee) 5 Silver Passes $4750 ($950 per attendee) 3 Gold Passes $4200 ($1400 per attendee) 5 Gold Passes $6250 ($1250 per attendee) 3 Diamond Passes $4800 ($1600 per attendee) 5 Diamond Passes $7250 ($1450 per attendee)

For larger groups or special requests contact Jordan by calling +1 (415) 992 7918 or email jdunne@theiegroup.com.Group passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & annual subscription to IE. membershipDiamond Pass: Access to all sessions, networking events, annual subscription to IE. membership & Strategic Analysis Report

Check (Make checks payable to The Innovation Enterprise Ltd) Invoice me

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before October 18, 2013 incur an administrative charge of 50%. If you cancel your registration after October 18, 2013 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormPredictive Analytics Innovation SummitNovember 14 & 15, 2013 | Swissotel | Chicago | IllinoisFor registration or more information on the program, please call Jordan on +1 415 992 7918, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

JanuaryBusiness Analytics Innovation Summit January 30 & 31

Las Vegas

AprilPredictive AnalyticsInnovation SummitApril 18 & 19

Hong Kong

Social Media & Web Analytics Innovation SummitApril 25 & 26

San Francisco

Sentiment Analysis Summit April 25 & 26

San Francisco

Predictive Analytics Innovation Summit April 30 & May 1

London

Social Media & Web Analytics Innovation SummitApril 30 & May 1

London

MarchSports Analytics Innovation SummitMarch 21 & 22

London

FebruaryPredictive Analytics Innovation Summit February 20 & 21

San Diego

OctoberBig Data & Predictive Analytics Summit October 17 & 18

Dublin

NovemberElite Minds in Sports Analytics SummitNovember 6

London

Sports TechnologyInnovation Summit November 7 & 8

London

Business Intelligence Innovation SummitNovember 14 & 15

Chicago

Predictive Analytics Innovation Summit November 14 & 15

Chicago

Data Science Leadership Summit November 14 & 15

Chicago

DecemberPredictive Analytics in Banking Summit December 5 & 6

New York

MayBusiness Intelligence Innovation Summit May 22 & 23

Chicago

HR Analytics Innovation May 22 & 23

Chicago

Business Analytics Innovation Summit May 22 & 23

Chicago

Partnership Opportunities: Giles Godwin-Brown | ggb@theiegroup.com | +1 415 692 5498

Attendee Invitation: Sean Foreman | sforeman@theiegroup.com | +1 415 692 5514

SeptemberSocial Media & Web Analytics Innovation SummitSeptember 12 & 13

Boston

Sports Analytics Innovation September 12 & 13

Boston

Sports Social Media

Retail HR

HealthcareExpected Attendees

BankingFlagship Summit

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