Advanced Analytics & Big Data for RetailGain greater insight with data science

June 19 & 20, 2014Chicago, IL

Previous Speakers

Previous Speakers• SVP, OfficeMax

• VP, Pricing & Analytics, RadioShack

• Global Executive Coordinator, Whole Foods

• Head of Risk Management, Mitsubishi

• Director, Customer Analytics, Sears

• Director, Online Marketing Reporting, Expedia

• Senior Data Scientist, Netflix

• Managing Director, Galigeo

• Director, Direct & Marketing, Free People

• Chief Risk Officer, CashStar

• DVP, Information Analytics Operations, Sears

• VP, Customer Retention, Restaurant.com

• Director, Analytics Modeling, J. Crew

• Manager, Market Development, Crimson

Hexagon

• VP, Analytics, 1010data

• Director, Customer Insight, Michaels Stores

• Manager, Experimentation Platform, Netflix

• Director, BI, Hyatt Resorts

• SVP, Retail & CPG, Fractal Analytics

Past Delegates Include• Director, CRM - Kroger

• Director, Insight - Red Bull

• Director, Analytics - Timberland

• Senior Director - Starbucks

• Director, Analytics - Coca-Cola

• Director, Insight - Electronic Arts

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 Advanced Analytics & Big Data for Retail Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.As organizations have developed the capacity to gain greater insight into customer behavior, it is essential to use innovative analytics practices to succeed. For large and small retailers, it is essential to be able to not only react to, but also accurately predict the trends and nuances in the market. This summit offers unique insight and solutions

offered by leaders in the field, this is especially important as all organizations now have capacity for greater access to customer information with the rise of Big DataIllustrated intermittently with case studies, interactive panel sessions and deep-dive discussions, the Advanced Analytics & Big Data for the Retail Industry Summit offers solutions and insight from the leaders and innovations in the analytics space. With networking breaks and roundtable discussions also included, this event offers unique insight into this fast-growing industry.

About The Summit

Previous Speakers

As the Director of Business Analytics at Edmunds.com, Brian and his team are responsible for providing the analytical insight needed to drive enhanced and informed decision-making throughout the company.     His areas of focus at Edmunds center on analytical support for Propensity Modeling, SEO, Search Engine Marketing, Mobile and Social Media, and traffic and revenue forecasting.   Brian has an undergraduate degree in Mathematics from Morehouse College, an MS in Mechanical Engineering from Georgia Institute of Technology and an MBA from Anderson School of Business at UCLA.   He has functional experience in management Consulting, Business Intelligence, FP&A and Market Risk Management for two Fortune Global 500 companies, Toyota and Accenture.   

Brian BaronDirector, Business AnalyticsEdmunds.com

Ad Targeting and Lead Generation Through Propensity Modeling

Clickstream data provides a wealth of information on consumer behavior. However, very few entities use this information effectively to create a competitive advantage. Although clickstream analysis has become commonplace with cheaper comprehensive tools available to both small businesses and large enterprises, very few entities use this information effectively to create a competitive advantage.  With nearly 18 mi l l ion monthly unique vis itors, Edmunds.com, an internet provider of automotive information, uses real-time predictive analytics to make the right offer to the right customer at the right time. This discussion will focus on utilizing data available via internal weblogs and 3rd party data in propensity models for ad targeting and lead generation.

Ms. Zhang works at Nokia as Head of Merchandising Insights. She provides thorough executive analyses, predictive models and recommendations for strategic and operational decisions for Nokia Store & Windows Phone Ecosystem to help developers’ apps visibility & success via strategic merchandising and users’ satisfaction and engagement. Before join Nokia, she was Vice President of Analytics at One to One Global providing analytical consulting to clients including Liberty Mutual, Harvard Executive Education, Nuance etc. Prior that she was Director of Business Intelligence at Monster Worldwide responsible for providing statistical analyses, predictive models and strategy recommendations to support Monster’s product strategy, prospects acquisition, customer retention, profit maximization and site optimization.

How to Make More App Developers Successful Via Data Driven Merchandising

The mobile application space is a very lucrative place for companies and meanwhile for developers. Its revenue is predicted to reach $46 billion by 2016, including advertising and other revenue streams. Most businesses, realizing the potential of   mobile apps, maintain them for p r o m o t i o n a l a n d m a r k e t i n g purposes.  Apps   let  developers  make   revenue, however, the current situation is top 25  developers  make half of all U.S.  mobile app revenue. To be a game changer, we have been utilized our Nokia Store and Microsoft Marketplace big data building predictive modeling and developers recommendation engine to merchandise our developers apps to make more developers successful by reaching their downloads and revenue goal and keep our ecosystem healthy.

Yanling ZhangHead of Merchandising InsightsNokia

Previous Speakers

Saurin Pandya is currently Director, Analytics at Expedia, and leads a global team of business analysts. In his role, Saurin provides decision support to Expedia Worldwide Global Product Development team, US business, Australia and New Zealand business and Strategy and Operation leadership. Saurin has expertise in web/site, product, marketing, merchandising and customer analytics. He also has great experience of advanced statistical modeling. Saurin’s research paper on “Volatility of Stock Returns: Emerging and Mature Markets” was published in special issue of reputed Managerial Finance Journal. Saurin earned a bachelor's degree in Chemical Engineering from

Gujarat University, India and a MBA from the Rutgers University.

Predicting AB Testing Success Beyond Conversion

One of the biggest challenge ecommerce company faces is how to speed up test and learn process overcoming sample size issue while measuring tradition conversion metric. This presentation explores various alternative success measurements to facilitate a faster test and learn process and improve site conversion at much faster rate.

Saurin PandyaDirector, AnalyticsExpedia

As Director of Consumer Insights for Michaels (specialty retailer of arts and crafts merchandise), Christine Smiley uses customer data to support market ing and merchandising efforts.   Using 200 million annual transactions and an extensive customer database, Christine and her team provide customer purchase analyses, predictive models, primary research, and marketing measurements.   Christine’s former roles include Statistical Analysis Manager at Capital One and Senior Statistical Analyst at J.C.Penney.   Her career began in Chicago at Kestnbaum & Company, a consulting firm that pioneered sophisticated database marketing analytics.  Christine graduated from Missouri State University and earned a Master’s in Applied Statistics from Purdue University.

Chirstine SmileyDirector, Consumer InsightsMichaels

E x p l a i n i n g A n a l y t i c s A c r o s s Yo u r Organization

If you’ve completed your analysis, but the client doesn’t understand it, did you really accomplish anything?   In this session you will learn some key tips and techniques to explain analytical results to a non-technical business audience.   I’ll share some strategies that I’ve used to get almost anyone to understand regression analysis, test vs. control measurement, correlation, and statistical significance.   Learn how to balance the business perspective with the technical details in your next presentation.

As Chief Risk Officer for CashStar, Pete Kledaras and his team develop and deploy risk analytics technology to achieve best-in-class performance in digital payments. Early in his career, risk management successes at the Bank of New York, First USA/Bank One, and boutique retail banks opened opportunities for Pete to advise blue-chip organizations on three continents at an executive level, including Visa EU, Barclaycard UK, BNP Paribas, TD Bank, Wright Express Corp., PowerPay LLC, and a variety of private equity concerns. Pete began his career as an economist for the US Treasury and the International Monetary Fund.

Soup vs. Filet: Secret recipes in Fraud Analytics From the Son of a Short-Order Cook

Even when you have access to the most elaborate fraud detection tools and data, the most valuable information and techniques are often overlooked or scrapped. Careful orchestration of these disused bits of information makes all the difference in synchronous fraud screening for end-to-end digital payments. Pete Kledaras will share some actionable secrets on squeezing value out of lots and lots of independently unattractive data.

Pete Kledaras Chief Risk OfficerCashStar

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Biography As Chief Risk Officer for CashStar, Pete Kledaras and his team develop and deploy risk analytics technology to achieve best-in-class performance in digital payments. Early in his career, risk management successes at the Bank of New York, First USA/Bank One, and boutique retail banks opened opportunities for Pete to advise blue-chip organizations on three continents at an executive level, including Visa EU, Barclaycard UK, BNP Paribas, TD Bank, Wright Express Corp., PowerPay LLC, and a variety of private equity concerns. Pete began his career as an economist for the US Treasury and the International Monetary Fund.

Session Title and Abstract Soup vs. Filet: Secret recipes in fraud analytics from the son of a short-order cook Even when you have access to the most elaborate fraud detection tools and data, the most valuable information and techniques are often overlooked or scrapped. Careful orchestration of these disused bits of information makes all the difference in synchronous fraud screening for end-to-end digital payments. Pete Kledaras will share some actionable secrets on squeezing value out of lots and lots of independently unattractive data.

Previous Speakers

Tony Flanery-Rye is Director of Global Analytics for Expedia’s Online Marketing Group.   He leads a team of analytics professionals driving actionable insights for Paid and Free Search, Partner Marketing and Customer Marketing.   His focus is bringing order and insight to the millions - and in some cases billions - of pieces of unstructured data from service contracts, customer data and usage, keywords, page views, and site actions.   Tony holds a Master’s Degree in Finance from Seattle University and has more than 15 years of experience across hospitality, telecom, and travel.   His expertise spans customer analytics, web analytics, pricing, software development, commission plan design and operations. 

Identifying Customer Value Online

For an online business, the balance between acquisition of new customers and retention of existing ones is difficult.  At Expedia, we’re developing methodologies to better manage retention costs and aid acquisition decisions by bring order to the chaos of unstructured data gleaned from millions of customers and billions of page views. During this session, Tony will share some of his team’s recent analytic developments geared toward identifying quality sources of traffic and how you can adopt these methodologies within your organizations.

Tony Flanery-RyeDirector, Global AnalyticsExpedia

Chris Taylor is the Executive Coordinator of Global Data & Analytics at Whole Foods Market with responsibility for operational, competitive and category analytics.  Chris has 20 years of industry experience spanning the supply chain from distribution through retail.   She is passionate about truly actionable analytics, eradicating food insecurity and interesting white wines.

Chris TaylorExecutive Co-ordinator, Global Data TeamWhole Foods Market

E x p l a i n i n g A n a l y t i c s A c r o s s Yo u r Organization

Making smart, timely, fact based decisions is absolutely essential to retail success.  The amount of transaction and customer information being generated today is increasing significantly.   However, more data does not necessarily translate into better decisions.   It is one thing to store terabytes of information.   It is another to extract those key insights that will enable a retailer to understand the actions that need to be taken to improve the customer experience and increase profitable revenue.   Chris will explore successfully turning information into insights, especially in a decentralized, intuitive and highly innovative retail culture.

As Head of Risk at Mitsubishi Motors Credit of America, (MMCA), Vijay manages Credit Risk, MIS reporting, Underwriting and Marketing Analytics. He is primarily responsible for using analytical techniques to forecast/mitigate credit loss exposure, increase profitability, enhance brand loyalty, and devise strategies to improve business performance. Prior to joining MMCA, Vijay worked for HSBC Auto Finance as Vice President of Risk Management where he held numerous positions in Strategic Alliances, Portfolio Management, Consumer Direct and Consumer Indirect businesses. Vijay holds an Engineering degree, MBA in Information Systems and Finance and has completed Strategic Decisions and Risk Management program from Stanford University.

Analytical Opportunities & Challenges in Consumer Auto Finance

Over 45 million automobiles are sold in US each year resulting into ~$500 billion of Retail loans and lease origination. Consumer Auto Finance is one of the oldest industries to leverage data and analytics but there are still significant unexplored analytical opportunities. Some of the challenges are overcome by recent technological developments but the others still remain to be identified/resolved. In this session, I’ll highlight those opportunities and challenges (based on my 10+ years of diversified experience in Auto Financing) and leave the solutions for the talented audience to figure out so that we can have more pleasant auto buying/financing experience.

Vijay PatilHead of Risk ManagementMitsubishi

Previous Speakers

Brent Carter is Vice President Customer Retention at Restaurant.com, the nation’s largest internet marketing site for restaurants.  Restaurant.com is a privately-held E-Commerce company with a partnership network of thousands restaurants with 50,000+ daily deals. In his role, Carter focuses largely on innovating the company’s customer loyalty and retention efforts. As a leader in the Customer Intelligence industry over the last decade, Carter has helped change the direction of powerful institutions across a variety of vertical markets; including Hospitality, Financial Services, Ecommerce and Retail. Leveraging this extensive background, he has focused on introducing innovative technologies and strategies into the marketing mix to exceed objectives within organizations.

Drive Customer Engagement & Loyalty to New Heights with Online Data

The greatest benefit of big data is the ability for companies to know their customers in ways that has never been possible before; where they go, what they buy, who they network with, what they say, do and like. Every single online transaction and behavior now leaves a trail to be mined for the rich, deep insights that can drive customer engagement and loyalty to new heights. Hear how Restaurant.com, the nation’s largest internet marketing site for restaurants, embarked on a journey to aggregate multiple independent data sources with the objective of being relevant to customers at any point in time or place.

Brent CarterVP, Customer RetentionRestaurant.com

Jehan Hamedi is a natural strategist with a passion for investigating new media and technology. He finds solace in the ever-changing landscape of social media, and delights in challenging traditional assumptions around the business applications of consumer-generated content. At Crimson Hexagon, Hamedi is responsible for developing the value propositions, vertical go-to-market strategies, and tailored messaging for each of the company’s domestic and international sales markets. It is his goal to discover and demonstrate new creative opportunities for companies in each industry to strategically leverage social media data–and gain competitive advantage in multiple areas of the enterprise. In his role, Hamedi collaborates with sales, marketing, editorial, client services, and strategic partnership teams on a daily basis.

Jehan HamediManager, Global Market DevelopmentCrimson Hexagon

I’m Telling You What I Want. Are You Listening? Understanding Today’s Real-Time Consumer Through Social Media

Retailers are increasingly becoming reliant on multiple sources of business intelligence in order to better understand customer needs and preferences. Improving customer experience and retention is top of mind for all retailers, but many have not capitalized on opportunities to optimize the in-store shopping experience and reduce the practice of showrooming. Your customers are using social media to vividly describe the unique benefits of your store and how they perceive different products and services across competitors. Are you listening, learning, and acting on these consumer opinions? Accessing these online consumer insights can also empower us to analyze brand affinity, and determine whether critical retail advertising campaigns generated real purchase intent.

Rajeeve KaulSenior Vice PresidentOfficeMax

Rajeeve Kaul is Senior Vice President at OfficeMax. His education includes MS and MBA degrees from UMass (Amherst).   In his prior role as Vice President, Pricing and Strategy at Cardinal Health he was responsible developing go to market and pricing strategy ,for   developing an understanding of the Cardinal customer portfolio and the overall deal management and compliance functions. Prior

to joining Cardinal, Rajeeve was Director, Price and Product Optimization, at AutoZone, a Fortune 300 where he developed next-generation solutions improving product assortment and deploying differentiated pricing capabilities. His other job experiences includes GE, where he developed six-sigma and cost-of-failure models, contributing significantly to business profitability, and Advanta, where he created pricing decision-support solutions for the mortgage banking industry.

Previous Speakers

Shira Witelson is the Director of Analytics Modeling at J.Crew. She focuses on Statistical Modeling and Analysis for Database Marketing. Shira is currently establishing the first advanced analytics department of J.Crew; she is in charge of developing, overseeing and implementing predictive models in the marketing scheme of J.Crew in view of supporting acquisition and retention efforts. Shira received her M.A. in Statistics from Columbia University, B.Sc in Industrial Engineering and Management from the Technion and a B.A. in Statistics from the Hebrew University of Jerusalem. Previously she was an Associate Director in the Advanced Analytics team at Digitas New York (a Publicis subsidiary).

Adopting an Attribution Strategy

An attribution model will help you allocate your marketing budget toward   the right channels. In order to reach this stage, an attribution strategy   needs to be   incorporated within your retail marketing efforts. If not, the results can  be expensive and counterproductive. Today's market is over-saturated by   attribution vendors providing their latest and greatest. It is very easy   to make the wrong decision but difficult to   get out of later on. Even though online attribution is a new field and can  be reached trough several approaches , the outcome is not, which is to find  the right credit of each marketing channel. 

Shira WitelsonDirector, Analytics ModelingJ. Crew

Saurabh Mittal leads a global team of practice leaders, consultants and analysts at Fractal catering to Fortune 500 clients.   His extensive consulting experience spans across four continents in retail and consumer verticals.  He is a recognized thought leader in Customer Experience, Digital and Social Media space.  Saurabh holds a graduate degree in management from University of Oxford where he was a British Chevening scholar and an undergraduate degree from IIT Delhi.

Saurabh MittalSVP, Retail & CPGFractal Analytics

Winning the Customer’s Heart and Mind Through Big Data

The retail environment is changing rapidly and so are we as people, as customers of products and services.   Today’s customer is much more informed, is more price sensitive, and demands more from her relationship with a retailer.     How can Retailers overcome this challenge of winning the Customer’s heart and mind?     Is it art, science or a secret sauce of the two? Hear how Fractal Analytics, a leading global analytics consulting company, has helped Retailers build that needed rational and emotional connect with its customers and differentiate in an ever competitive multi-channel environment.

Bryan GummManager, Experimentation PlatformNetflix

Bryan Gumm is the Manager of Experimentation Platform and Science at  Netflix. In this role, he is responsible for the platform by which Experiments are analyzed as well as the science behind that analysis. Prior to that, he spent 7 years in various Analytics and Product Management roles. He holds an M.S. in Statistics from Baylor University.

A/B Testing for Subscription-Based Business Models

Conducting and analyzing A/B tests when one’s business model is   subscription-based poses a number of unique challenges. In this talk, the   speakers will review those challenges, offer ideas on speeding up the experimentation cycle, and will walk through a Netflix-specific case study.

The Information

Silver Pass

$1495Access to all sessions &

networking event

$1295Early Bird Price(before April 11)

Diamond Pass

$1995Access to all sessions, networking events, annual subscription to IE.

membership & Strategic Analysis Report

$1795Early Bird Price(before April 11)

Gold Pass

$1795to all sessions, networking events &

annual subscription to IE. membership

$1595Early Bird Price(before April 11)

Registration Pricing

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For larger groups or special requests contact Robert by calling +1 415 992 7605 or email rshanley@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 415 992 7605 +1 323 446 7673 http://theinnovationenterprise.com/summits/big-data-retail/

Group Discount Offers3 Silver Passes: $3000 ($1000 per attendee)5 Silver Passes: $4500 ($900 per attendee)3 Gold Passes: $3900 ($1300 per attendee)5 Gold Passes: $6000 ($1200 per attendee)3 Diamond Passes: $4500 ($1500 per attendee)5 Diamond Passes: $7000 ($1400 per attendee)

Big Data & Analytics for Retail SummitDate: June 19 & 20, 2013Location: Chicago, ILVenue: TBC

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1. Delegate Information...

2. Pass Types...Early Bird Pass Options until April 11, 2014

Early Bird Silver: $1295 Attendees ____ Early Bird Gold: $1595 Attendees ____ Early Bird Diamond: $1795 Attendees ____

Regular Pass Options after April 11, 2014 Silver Pass: $1495 Attendees ____ Gold Pass: $1795 Attendees ____ Diamond Pass: $1995 Attendees ____

Group Discount Pass Options 3 Silver Passes $3000 ($1000 per attendee) 5 Silver Passes $4500 ($900 per attendee) 3 Gold Passes $3900 ($1300 per attendee) 5 Gold Passes $6000 ($1200 per attendee) 3 Diamond Passes $4500 ($1500 per attendee) 5 Diamond Passes $7000 ($1400 per attendee)

For larger groups or special requests contact Robert Shanley by calling +1 415 992 7605 or email rshanley@theiegroup.comGroup 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

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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 May 16, 2014 incur an administrative charge of 50%. If you cancel your registration after May 16, 2014 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 FormAdvanced Analytics & Big Data for RetailJune 19 & 20, 2014 | Chicago | IllinoisFor registration or more information on the program, please call Robert on +1 (415) 992 7605, or fax this registration form to +1 (323) 446 7673

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Schedule

Networking Drinks 17.00 - 19.00

June 20

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

June 19Day 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 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

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JanuaryBusiness Analytics Innovation Summit January 30 & 31Las Vegas

AprilPredictive AnalyticsInnovation SummitApril 18 & 19Hong Kong

Social Media & Web Analytics Innovation SummitApril 25 & 26San Francisco

Sentiment Analysis Summit April 25 & 26San Francisco

Predictive Analytics Innovation Summit April 30 & May 1London

Social Media & Web Analytics Innovation SummitApril 30 & May 1London

MarchSports Analytics Innovation SummitMarch 21 & 22London

FebruaryPredictive Analytics Innovation Summit February 20 & 21San Diego

OctoberBig Data & Predictive Analytics Summit October 17 & 18Dublin

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Business Intelligence Innovation SummitNovember 14 & 15Chicago

Predictive Analytics Innovation Summit November 14 & 15Chicago

DecemberPredictive Analytics in Banking Summit December 4 & 5New York

MayBusiness Intelligence Innovation Summit May 22 & 23Chicago

HR Analytics Innovation May 22 & 23Chicago

Business Analytics Innovation Summit May 22 & 23Chicago

SeptemberSocial Media & Web Analytics Innovation SummitSeptember 12 & 13Boston

Sports Analytics Innovation September 12 & 13Boston

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