Big Data & Analytics for Retail

Gain Greater Customer Insight with Big Data & Analytics

June 19 & 20, 2014W City Center

Chicago, IL

Confirmed Speakers

Confirmed Speakers• VP, Online & Multi-Channel, Diesel

• VP, Advanced Analytics, The Hershey Company

• VP, Consumer Insights, Dunkin’ Brands

• VP, CRM & Analytics, Luxottica Group

• VP, Marketing, Rue La La

• VP, Audience Insights, TiVo

• Director, Predictive Analytics, Sonic Automotive

• Multi-Channel Lead, Clarks International

• Big Data & Marketing Lead, Kraft Foods

• Director, Advanced Analytics, Macy’s

• Director, Business Intelligence, Hyatt Resorts

• Director, Direct & Marketing, Free People

• Director, Analytics Modeling, J. Crew

• Director, Analytics & Testing, Abercrombie & Fitch

• Senior Analyst, Strategy & Analytics, Delta Air Lines

• VP, Audience Insights, TiVO

• Product Owner, Spotify

• Senior Director, Analytics, Luxottica Group

• Senior Manager, Email Testing & Analytics, Free People

• Director, Analytics Modeling, J. Crew

• Director, Customer Insight, Michaels Stores

• VP, Decision Tech, JP Morgan Chase

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

F TI L

The Big Data & Analytics 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 Data.

Illustrated 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

Confirmed Speakers

Scott has experience in various aspects of ecommerce, digital strategy, marketing, and analytics from both the brand side and agency perspective. Scott began his digital career in Seattle leading Product Development for Washington Mutual’s Online Banking. From there he moved to the Global Digital Agency Possible. While at Possible, he led digital strategy for Faconnable, Entertainment Weekly, Motorola, and REI. After five years with the agency, he moved back to the brand side leading ecommerce and digital strategy for Kiehls, AmEx, and Morgans Hotel Group. He is currently VP of Online and Multi Channel Strategy for Diesel USA.

   

Scott LuxVP, Multi Channel & E-commerceDiesel

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.

Nicola Saraceno serves as the CRM Group Director and VP for Luxotica Retail North America. His group is responsible for customer relationships, loyalty, and customer analytics. Prior to joining Luxottica, Nicola has worked for several years in the Media Industry (Sky Italia) where he contributed in standing up and developing their CRM and customer marketing and customer experience team. Earlier in his career, Nicola worked for the Boston Consulting Group where he focused on marketing projects for media, telco, and retail industries. Nicola holds an engineering degree from Politecnico di Milano and studies for his MBA at the Rotterdam School of Management and the University of Michigan.

Next-Best Activity Powered by Predictive Modeling

This session introduces the concept of next-best activity and illustrates how Luxottica Retail North America adopted a new generation of predictive models built to have a more active role in targeting and marketing to different customers. Attend and examine the full suite of models needed and some of the initial results in terms of predictions and performance.

Nicola SaracenoVP, CRM & AnalyticsLuxottica Group

Rafael Alcaraz is the V.P. of Global Advanced Analytics, Digital Media, and Strategic Foresight in the Global Knowledge and Insights group at The Hershey Co. Current ly he leads the G loba l company 's ROI accountability efforts to improve the efficiency and effectiveness of the marketing and sales spending budgets- Media, Strategic Foresight, Brand PR, and Trade. He also leads the Global Pricing and Retail Forecast Applications and serves as an internal analytical consultant across research, category management, marketing, finance, and sales divisions.

The Shared Economy: Why Own When You Can Share?

Fostered by the growth of social platforms, the shared economy has become a new model for consumption. With a focus on consumption through collaboration, the shared economy has redefined the traditional buyer-seller relationship. This presentation will explore the implications of the shared economy and challenges of making sharing a sustainable, economic model. Should traditional retailers / service firms adapt to this new model? If so, how? How do companies build and maintain trust with their customers, especially as they scale?

Rafael AlcarazVP, Global Advanced Analytics, Digital Media & Strategic ForesightThe Hershey Company

Rebecca is   responsible for providing strategic and operational guidance to drive franchisee profitability and brand growth via consumer insights for Dunkin’ Donuts and Baskin Robbins both in the United States and internationally. Rebecca works to create winning branding and customer focused strategies for Dunkin’ Brands in new and existing markets around the world. Her leadership has enabled consumer insights to become a fabric of the culture at Dunkin’ Brands, and a critical business strategy for both brands.

Rebecca ZogbiVP, Global Consumer & Business InsightsDunkin’ Brands Delivering on Your Brand Promise Through

Customer Experience

Understand why customer experience is an essential part of marketing to win customers and drive profitable sales. Find out how Dunkin’ Brands uses consumer insights to understand consumer needs and then develop a 360-degree approach to meeting those needs with a unique combinat ion of brand promise, menu, in-store environment, and employee engagement.

Daqing Zhao  has over 20 years of experience in analyzing very large data. Trained in data analysis and simulations on molecular systems, he   gained extensive expertise in customer centric marketing, optimizing for all stages of customer acquisition, conversion   and retention.   He has worked on segmentation and predictive modeling for banner ads, web logs, search keywords, emails, transactions, call center, and customer life time values.  He contributed a chapter in the newly released book, "Big Data and Business Analytics" by CRC Press.

The Secret to Making Magic at Macy’s

Come learn how Macy’s has developed tools to effectively share Human Capital data across our organization swiftly and effectively, allowing stakeholders to make business decisions in a flash.   We will share how we created a successful HR Metrics team and engaging dashboards.   It has not all been easy and sometimes we say it was a “Miracle on 34th street that made it all come together.  But we are excited to share with you our learning lessons, best practices, successes, and the secrets to our success.

Daqing ZhaoDirector, Advanced AnalyticsMacy’s

Erick has been involved in Big Data before this movement revolutionized the business world.  Erick began his career in Big Data at SC Johnson, creating a Big Data capability from what started off as a CRM program.   Erick applied this expertise at Allstate where he saw the opportunity to leverage insurance-specific data like telematics, customer credit and fraud detection data with widely available digital data to enhance marketing decisions.   Erick is currently supporting the Center of Excellence at Kraft Foods to implement a Big Data capability that will leverage data sources we already collect, with automation and visualization to enhance our ability to serve consumers. 

Erick LasecaBig Data & Marketing LeadKraft Foods

Explaining Analytics Across Your Organization

Kraft Foods is at the forefront at integrating data sources in a way that provides timely insights for a full picture of our business.   In this presentation, we will discuss the discovery and implementation process of Big Data in a typical consumer products company.   For Kraft, Big Data will impact what we do from R&D all the way to distribution and pricing, and many things in between.   We’ll walk through the Kraft Data Lake and the primary use cases to help you think through the possibilities.   I’ll share my perspective on implementing useful Big Data tools that solve real-world problems and have actionable solutions attached, to maximize the resulting insights.

Sascha is a marketing leader with strong analytical skills and proven track record of translating business goals into customer-centr ic s t rateg ies , ana lyses , pro ject requirements that drive revenue and profit thru more effective campaigns, actionable insights and enhanced capabilities. At Abercrombie has helped them make better decisions and evangelizing digital and customer analytics.

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 Abercrombie-specific case study.

Sasha Verbitsky Director, Analytics & TestingAbercrombie & Fitch

James Barrett is Vice President of Marketing, where he manages CRM and leverages Member insights to drive a personalized tone, message, and product to each Member. Jim has worked his way across a diverse portfolio of various marketing, technology, and management positions, driven by his expertise in developing multi-channel marketing solutions (from strategy to budgeting, implementation, and refinement), creating business insights and increased customer value, and leading and developing teams of marketing and business analytics. His professional history includes time at Harte-Hanks DM as the Director of Retail Strategy and Analysis, Aramark, Royal Bank of Scotland/Peoples’ Bank in the Credit Card Division, as well as in various marketing and analytics positions.

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.

Jim BarrettVP, MarketingRu La La

Parthiv Sheth is an executive with over 15 years of global IT management experience. He is currently the Director of Business Intelligence at Hyatt Hotels Corporation where he leads efforts to build and improve analytics and customer relationship management capabilities. He started his career at KPMG where he focused on delivering business and technology solutions to Fortune 500 clients. Before joining Hyatt, he led the business systems department and managed a portfolio of applications, including business intelligence at a national home improvement retailer. He has a Master’s degree in computer science from University of Illinois at Chicago and MBA from Kellogg School of Management at Northwestern University.

Lessons in IT Alignment: How to Align with Business and Deliver on the Promise

For an hotel business, the balance between acquisition of new customers and retention of existing ones is difficult.  At Hyatt, 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, Parthiv 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.

Parthiv ShethDirector, Business IntelligenceHyatt Hotels

David Getz is a Senior Analyst with Delta Air Lines Inc's Loyalty Program Strategy and Design team, a role in which he is responsible for shaping program design and policies via data driven analysis.  Prior to his time with Delta, David worked at The Home Depot in the company's Operations and Pricing Analytics groups, where he was responsible for increasing both the depth and breadth of analytical resources while also serving in a client-facing capacity.  He has also worked as a statistician with the United States Census Bureau.   David holds a bachelor's degree in economics from Oglethorpe University, a master's degree in economics from Georgia State University, and is in the final stages of obtaining an MBA from The Georgia Institute of Technology.

David GetzSenior Analyst, Loyalty Program Strategy & AnalyticsDelta Air Lines

Creating Actionable Insights: Effective Co m m u n i c a t i o n B e t w e e n T e c h n i c a l Personnel & Non-Technical Clients

As Big Data becomes more pervasive and more important to organizations of all types and sizes, companies are faced with the challenge of communicating analytical within different business units.   All too often, data scientists struggle to communicate their findings and methodologies to non-analytical customers resulting in inefficiencies or, in worst case scenarios, outright mistrust.   This session will focus on common communication problems between data scientists and other business units, how to prepare members of your team for conversations with customers

Spotify brings you the right music for every moment. WIth over 24 million users and 20 million songs, Spotify has to deal with vast amounts of   data   everyday. Over the last few years Spotify has seen a small hadoop cluster for reporting grow into a platform that feeds the entire organization with   data.   Fabian Alenius is a Product Area Lead for Data   Infrastructure at Spotify and has seen the transition firsthand.

Analytical Opportunities & Challenges in Consumer Auto Finance

Spotify launched in Sweden 2008 and has since spread to 55 markets. Spotify’s data infrastructure is now used by hundreds of engineers and analysts on a daily basis as part of their daily work. This presentation will give an overview of Spotify's data infrastructure and explain our architectural and organizational transformation by looking at it with a historical context. We will share some of the analytics we do by zooming in on a few key use-cases and looking at what infrastructure is required. We will also share some of the problems we have faced over the last few years and a few of the lessons learned.

Fabian AleniusProduct Owner, Analytical ComputationSpotify

The Information

Registration Pricing

For larger groups or special requests contact Bola by calling +1 415 692 5378 or email bwilliams@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 617 830 1805 +1 323 446 7673 CLICK HERE TO REGISTER

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, 2014Location: Chicago, ILVenue: W City CenterSpecial Room Block Link: HERE

F TI L

Silver Pass

$1495Access to all sessions &

networking events7 days access to presentations from the

summit via ieOnDemand

$1295Early Bird Price(before Apr 11)

Diamond Pass

$1995Access to all sessions, networking

events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1795Early Bird Price(before Apr 11)

Gold Pass

$1795Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$1595Early Bird Price(before Apr 11)

1 Day Pass

$795Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

$695Early Bird Price(before Apr 11)

On-Demand Pass

$600Unlimited access to presentations from the summit via ieOnDemand,

including presentations, interviews & the ability to contact speakers

Unlimited access to summit presentations

via ieOnDemand

NAME OF EACH ATTENDEE

TITLE OF EACH ATTENDEE DEPARTMENT

COMPANY INDUSTRY

ADDRESS CITY

STATE/PROVINCE ZIP/POSTAL CODE COUNTRY

EMAIL OF EACH ATTENDEE BUSINESS PHONE NUMBER

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 Bola Williams by calling +1 415 692 5378 or email bwilliams@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 & unlimited access to the summit presentations via ieOnDemandDiamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

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

Visa Mastercard American Express Diners Club Discover

CARD NUMBER EXPIRATION DATE SECURITY NO.

CARDHOLDERS NAME CARDHOLDER’S SIGNATURE

BILLING ADDRESS INDUSTRY

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 FormBig Data & Analytics for RetailJune 19 & 20, 2014 | W City Center | Chicago | IllinoisFor registration or more information on the program, please call Bola on +1 (415) 692 5378, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

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

F TI L

Sponsors

For sponsorship information contact Giles at ggodwinbrown@theiegroup.com

11

F TI L

Silver Sponsor Silver Sponsor

™

Exhibitor

CirrusPointSolutions

Exhibitor Exhibitor

Exhibitor Exhibitor Exhibitor

Silver Sponsor

JanuaryBusiness Analytics Innovation Summit January 22 & 23, Las Vegas

MarchHR & Workforce Analytics InnovationMarch 19 & 20, London

Sports Analytics Innovation SummitMarch 26 & 27, London

Predictive AnalyticsInnovation SummitMarch 27 & 28, Hong Kong

FebruaryData Science Innovation SummitFebruary 18, San Diego

Predictive Analytics Innovation Summit February 19 & 20, San Diego

Big Data & Analytics Innovation Summit February 27 & 28, Singapore

May Continued

Predictive Analytics Innovation Summit May 14 & 15, London

Digital & Web Analytics Innovation May 14 & 15, London

Big Data & Analytics in Healthcare May 14 & 15, Philadelphia

Business Intelligence Innovation Summit May 21 & 22, Chicago

HR & Workforce Analytics Innovation May 21 & 22, Chicago

Business Analytics Innovation Summit May 21 & 22, Chicago

Manufacturing Analytics Innovation SummitMay 21 & 22, Chicago

Big Data & Advanced Analytics in Government May 21 & 22, Washington, DC

Partnership Opportunities: Giles Godwin-Brown | ggb@theiegroup.com | +1 415 692 5498Attendee Invitation: Sean Foreman | sforeman@theiegroup.com | +1 415 692 5514

SeptemberSports Analytics Innovation September 10 & 11, Boston

Big Data & Analytics Innovation SummitSeptember 17 & 18, Sydney

Analytics

JuneBig Data & Analytics for PharmaJune 11 & 12, Philadelphia

Big Data & Analytics for Retail SummitJune 19 & 20, Chicago

Customer Analytics Innovation SummitJune 19 & 20, Chicago

MaySocial Media & Web Analytics Innovation SummitMay 1 & 2, San Francisco

Sentiment Analysis Summit May 1 & 2, San Francisco

Gaming Analytics Summit May 1 & 2, San Francisco

OctoberBig Data & Analytics Innovation Summit October 16 & 17, London

NovemberSports PerformanceInnovation Summit November 5 & 6, Manchester

Big Data & Analytics for PharmaNovember 5 & 6, Philadelphia

Social Data Innovation November 6 & 7, Miami

Business Intelligence Innovation SummitNovember 12 & 13, Chicago

Predictive Analytics Innovation Summit November 12 & 13, Chicago

Data Science Leadership Summit November 12, Chicago

Big Data & Analytics Innovation Summit November 27 & 28, Beijing

Retail HR

HealthcareExpected Attendees

BankingFlagship Summit

Sports Social Media

2014 Calendar