Big Data InnovationTAKE CONTROL OF YOUR DATA

Multiple General SessionsBig Data Exhibition

70+ SessionsWorkshops, Discussions, Panel Sessions

Outstanding KeynotesBig Data Innovation: Be Part of It

April 9 & 10, 2014Santa Clara Convention Center

Confirmed Speakers

• Director, Real World Data, Pfizer

• Director, Data Platforms, Netflix

• Principal Data Scientist, Bing.com

• Director, Data Science, American Express

• VP, Decision Tech, JP Morgan Chase

• Sr Director, Data Science, Samsung

• Sr Manager, Engineering, eHarmony

• Chief Analytics Officer, Dun & Bradstreet

• Head of Search Science, eBay

• Group Manager, Data, Etsy

• Exec Vice President, Data Science, Live Nation

• Chief Data Architect, PayPal

• Head of Analytics, Airbnb

• Lead Engineer, Ancestry.com

• Chief Architect, StubHub

• Sr Manager, Hadoop, Sears

• Senior Hadoop Developer, Credit Suisse

• SVP, Data Science, News Corporation

• Global Data Science, General Mills

• Chief Information Officer, Big Fish Games

• Head of Intelligent Storage, Samsung

• Data Science Leader, Yahoo!

• Director, Analytics, Trulia

• Director, Data Science, Quintiles

• Chief Data Officer, NYSE Euronext

• Vice President, Data, Nokia

• Sr Manager, Engineering, LinkedIn

• Chief Data Officer, New York University

• Professor, George Mason University

• Global Head of Data Science, TE Connectivity

• Director, Analytics, eBay

• & many more...for a full list click here

Past Delegates include

• Senior Vice President, Samsung

• Chief Data Officer, City of Baltimore

• Senior Analyst, US. Government

• Senior Director, Data, Salesforce,com

• Director, Analytics, Novartis

• Director, Software, Dell

• Director, eCommerce, Barney’s New York

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 Big Data space. You will be meeting senior level executives 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 Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.

As many organizations are now working with unmanageably large data sets, the importance of using and maintaining an analytics platform which can cope with this scale of information is essential. This presents both a challenge and opportunity as organizations must identify patterns and gain actionable results in order to gain a crucial advantage over competitors.

Illustrated intermittently with case studies, interact ive panel sessions and deep-dive

discussions, this summit offers solutions and insight from the leaders operating in the Big Data space.

Big Data Innovation will help your business understand & utilize data-driven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, security and disruptive tools & technologies.

Expected Delegates: 800+Expected Session Number: 70+Expected Exhibitors/Vendors: 30+

About The Summit #datawest14

Format of the summit...

The summit will be broken down in to the following tracks;

Tracks Confirmed:

• Big Data Innovation Keynotes• Hadoop, NoSQL• Data Analytics• Algorithms & Machine Learning• Data Science• Breakouts including R & Python

Featuring:

• Exhibition Zone - Over 30 solution providers showcasing the latest in Big Data & Related services/solutions

• Roundtable & Discussion Zone to network with your peers, gaining insights from in depth conversations

• Networking Evening providing 2 hours of complimentary drinks & canapés to further establish relationships

“This is the pinnacle of Big Data conferences, the takeaways & networking is incomparable” - Big Data Innovation 2013 attendee

Attending Companies:

Big Data Innovation

The Big Data Innovation Keynotes will feature some of the finest experts in the field who will share use cases, cautionary tales and the latest innovations to take 2014 by storm.

Topics will include

• One Company’s Journey into Big Data

• The R & Hadoop Hookup• Empowering the Data Scientist

• Governance for Big Data

About The Summit #datawest14

Data Science

The Data Science Track wil l focus on the extraction of knowledge from data with varying technical and scientific theories familiar to those working with data on a day-day basis.

Topics will include

• Extracting Knowledge from Data

• Data Engineering• Advanced Computing

• Scientific Methods

Data Analytics

The Data Analytics track will look at the process of inspect ing, c leaning, transforming and modeling data with the goal of discovering useful information.

Topics will include

• Customer Analytics & Insights

• Providing Data Based Insights• Analytical Frameworks

• Characteristics of Data

Hadoop & NoSQL

The more technical track of Hadoop & NoSQL will drawn on the knowledge of those demystifying B i g D a t a u s i n g H a d o o p & N o S Q L - t h e technologies powering Big Data.

Topics will include

• Building a Data Platform

• Introduction to Hadoop 2.0• Cloud Native Hadoop

• Hive Resource Optimization

Machine Learning & Algorithms

Again with more technical focus the Machine learning will look at how we can learn from data us ing Mach ine Learn ing , Data Min ing , & Algorithms.

Topics will include

• Artificial Intelligence

• Data Mining• Clustering

• Human Interaction

Breakout Sessions

The breakout sessions will host discussions, panel sessions, roundtable discussions of the latest hot topic in Big Data both educational and on a business sense. Be sure to drop in on these.

Topics will include

• The Big Data Conundrum

• Bringing Data to the Enterprise• Big Data in Action

• Big Data Integration

Gallery #datawest14

Left: The opening keynote takes place in the Big Data Innovation Session with eBay taking centre stage

Right: Hortonworks CEO delivers a presentation on the latest developments on the vendor side

Left: An at capacity crowd within the Big Data Innovation Keynotes

Right: Coffee networking buzz around the Map R Technologies booth

Left: Twitter take the stage with their dual presentation discussing Hadoop and the future it may hold

Right: Out of sessions the exhibition area has quite the buzz

Left: Think Big Analytics CEO talks Big Data in the Big Questions in Big Data session

Right: Panel Sessions underway, an in depth look into Data Science from an exciting line up of panelists

Left: All content from the two days is filmed so you can sit back post-summit and redigest all the information

Right: Metric Insights winning Start-Up of the year at the Big Data Innovation awards

Speaker InformationPresentations Subject to Change

Cory FinnellChief Information OfficerBig Fish Games

Cory Finnell joined Big Fish Games in 2005 and is responsible for the company's marketing, product, data warehouse and analytics teams.    Prior to joining Big Fish Games, Cory co-founded Certus Consulting Group, a provider of electronic evidence discovery services to law firms and corporations involved in large-scale litigation. He also served as the director of analytic services for N2H2, a leading provider of Internet filtering software, now a part of Secure Computing.

Cory holds a B.S. degree in quantitative economics and decision sciences from the University of California, San Diego, an M.B.A. from the University of Washington, and a Master   of Science degree in applied economics from the University of Montana.

One Company’s Journey to Big Data

The game industry generates an enormous volume of data.  But what do companies in the industry do with it and why?   Come learn about Big Fish Games’ journey from leveraging “sizable” e-commerce data to mining “big” game telemetry data.   Listen to Cory Finnell, the CIO of Big Fish Games - a leading producer and distributor of mobile free to play casual games – discuss what the company has learned from and how the company approaches investments in analytic people and infrastructure.   What works, what doesn’t and why. 

Jesse BridgewaterPrincipal Data ScientisteBay

Jesse Bridgewater leads a data science team at eBay focused on combining machine learning, data mining and user-centric design to improve traditional product development methods.

Some current areas of research include advanced live-traffic experimentation methods based on multi-armed bandits and scalable user-centric design methods. His background is physics and distributed algorithms.

Since completing his Ph.D in Electrical Engineering at UCLA he has done predictive modeling and user-centric data mining at the JD Power Econometric Sciences group, Yahoo Search and Microsoft's Bing search engine.

The R + Hadoop Hookup

Hadoop and R have each democratized important parts of the data analysis  universe.  They are both popular and useful tools for data-driven business   and academic research. Putting the two together is a cottage industry with several different approaches. All of the approaches to date put R at the   center of the process by enabling the creation of map-reduce jobs using R   code.   This is great for a lot of purposes but has real downsides as well.  We present an approach to bringing these two technologies together to   enable hadoop jobs to leverage R when it is useful and without   compromising on robustness, debugability and flexibility.

Lynn GoldsteinChief Data OfficerNYU

Lynn A. Goldstein is the Chief Data Officer for New York University’s Center for Urban Science + Progress, a position she has held since August 2013.

Prior to joining CUSP, she was the Privacy General Counsel/Chief Privacy Officer for JPMorgan Chase from 2004 through May 2013 and for Bank One from 2003 to 2004. From 2001 to 2004, she was the General Counsel for Bank One’s credit card company, and from 1988 to 2001 she was Head of Litigation for Bank One, First Chicago NBD and First Chicago.

Governance for Big Data

As the volume and detail of information captured by organizations increases, the need to address the governance necessary to maximum the value of this information increases.   Sound information governance is based on accountability.  This presentation will address the essential elements of accountability in the context of big data and how an organization leveraging big data can implement these elements.

Speaker InformationPresentations Subject to Change

Kurt BrownDirector, Data PlatformsNetflix

Kurt leads the Data Platform team at Netflix. His group architects and manages the technical infrastructure underpinning the company's analytics. The Netflix data infrastructure includes various Big Data technologies (e.g. Hadoop, Hive, and Pig), Netflix open sourced applications and services (e.g. Lipstick and Genie), and traditional BI tools (e.g. Teradata and MicroStrategy).

Cloud Native Hadoop at Netflix

Nearly all of the Netflix technical infrastructure is in the (Amazon) cloud and our Big Data systems are no exception. In this session we'll discuss why we do this and how we make it work exceptionally well for Hadoop. Simply forklifting your Hadoop setup / processes from your data center to the cloud is a recipe for disappointment. By taking a "cloud native" approach (e.g. embracing openness, elasticity, and cloud services), many new, empowering possibilities open up. While all hype around "the cloud" can lead to skepticism, it's our daily reality and a huge business enabler for Netflix. 

Richard WendellGlobal Head of Data ScienceTE Connectivity

Constructing and leading TE's global data science and strategic analytics team. Responsible for creating and executing the data and analytics strategies that accelerate the corporate strategy and enhance operational efficiency and effectiveness. The team's focus spans generating analytic insights, creating quantitative strategies and developing external business development and partnership opportunities.

From Insight to Impact: Lessons Learned in Executing the ‘Last Mile’ of Analytics Projects

The thesis of this presentation is that, while many well conducted big data and analytics projects drive insights, the business impact is often left unrealized.   At the end of the day, it is critical for analytics executives to drive execution across the organization.   This presentation outlines best practices for success in maximizing the ROI from data science and analytics. 

David StringfellowChief Economist, DataState of Utah

David Stringfellow is the Chief Economist in the Office of the Utah State Auditor.   He focuses on data analytics, accessing billions of records in the State of Utah’s many data systems.   He builds models and analyzes trends to ensure Utah’s public entities are realistic, effective, and efficient.

Before this, David was a Senior Economist in the Utah Governor’s Office.   He forecast Utah’s economy, $5 billion in annual revenue, and was the Governor's principal tax policy adviser.   He was also a Statistician for the U.S. Census Bureau, producing official estimates for service sectors of the US economy totaling roughly $1 trillion.

Public Policy and the Complexity of Analytics

In the last decade, the economy has swung wildly from a housing based boom, to an unprecedented economic recession, followed by a lackluster recovery.   Economists, as a group, largely missed the recession and pace of recovery.   Data science paired with the science of complexity provide an opportunity for economists and all public sector managers to better understand how world works.   Given the complexity of the world, how should our approach to our data, models, methods, and analytics change to best inform public policy?   Large scale data analytics will have a prominent role in creating more useful tools to better guide decision making in government.   This will range from improved forecasts, to more detailed evaluations of program effectiveness, to increased ability to detect fraud, waste, and abuse.   Examples of how the Office of the Utah State Auditor is utilizing big data and advanced analytics to improve how government operates will be presented throughout.

Speaker InformationPresentations Subject to Change

Jeremy PollackLead EngineerAncestry.com

Jeremy Pollack leads the DNA Engine team at Ancestry.com, which supports a team of scientists and makes their discoveries scale.  In the past, he’s written code that withstood the traffic from a Superbowl ad, created the content management system for one of the web’s most popular parenting sites, and looked after the technology needs of a well-known online magazine. When he’s not coding, he enjoys reading, playing the darbuka, and throwing awesome dinner parties.

Hadoop, HBase, and DNA Analysis at Ancestry.com

Find out how Ancestry.com can find your long-lost relatives in a pool of hundreds of thousands!   Previous implementations of this technology were limited to relatively small populations.   In this presentation, I'll talk about how we leverage HBase and Hadoop to analyze DNA at an unprecedented scale.

Kirk BorneProfessorGeorge Mason University

Kirk Borne is a data scientist and an astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University (GMU) School of Physics, Astronomy, and Computational Sciences. He is undergraduate advisor for the GMU Data Science program and graduate advisor to students in the Computational Science and Informatics PhD program. He spent nearly 20 years supporting NASA projects, including NASA's Hubble Space Telescope as Data Archive Project Scientist, NASA's Astronomy Data Center, and NASA's Space Science Data Operations Office. He has extensive experience in large scientific databases and information systems, including expertise in scientific data mining.

Big Data: What is it Good for?

Big Data is great, but what is it good for?   It is good for data-driven discovery and decision support.   I will discuss the implications of Big Data in these two areas, with emphasis on Decision Science.   I will describe an "as-a-Service" model for Decision Science.  I will describe the why, what, how, and who of DecisionScience-as-a-Service.

Taylor PhilipsManager, Data ScienceSquare

Taylor Phillips manages the data science and machine learning teams at Square, which are responsible for fraud detection and other data monetization strategies such as recommendation systems. Taylor brings a backend, infrastructure lens to the machine learning domain, helping architect a reliable, highly-available, real-time risk pipeline to support the rigorous requirements of the payments industry. Before Square, Taylor spent several years building and commanding an army of online poker bots.

Highly Available Machine Learning Systems to Move Money

Square's flagship innovations, such as frictionless signup/underwriting and next-day settlement, are enabled by powerful machine learning behind scenes. These use cases boil down to moving money in real-time with machine learning; this is why availability and correctness are of highest concern. In this talk, we'll discuss Square's machine learning pipeline, its evolution from startup to enterprise, and some things we learned along the way.  We'll also look towards the future and share some strategies that Square is considering to monetize its rich, line-item data.

Speaker InformationPresentations Subject to Change

Patrick BeattyDirector, AnalyticsTrulia

Data scientist, product manager, financial engineer, tech/maker, and academic with broad experience in all aspects of business, finance, accounting, risk management, and entrepreneurism. Direct experience with start-ups, tech, data science, risk management, financial consulting, and venture capital. Interested in early-stage start-ups and technology.

Specialties: Business plan and strategy, Economic Capital, Portfolio Management, Financial Research, KMV Products, Programming in most statistical and financial scripting languages as well as C, Announcing, Radio Broadcasting

Building a Data Science Team

Trulia has a wealth of big data.   For example, we have records spanning decades for every home in the United States, logged activity of tens of millions of home buyers, tens of millions of property photos, and millions of real estate questions and answers.   Such a wealth of data about the real estate domain has never before existed in one place.   Trulia aims to find out how the home buying experience can be transformed using all this data.   With that in mind, over the past three years we've built up a data science team to do just that--create new products and undiscover actionable insights from our big data.  This talk will detail the decisions we made in assembling the team, and what has worked and not worked over these past years. 

Steve HirschChief Data OfficerNYSE Euronext/ICE

In his current role as Chief Data Officer of NYSE Euronext, Steve Hirsch is responsible for the data vertical which includes data governance, data architecture, database development, operations, platform engineering, storage, and dataflow automation. Prior to entering the exchange space at Archipelago (which later merged with the NYSE), Steve served in other data centric roles at various companies, including Nextcard, one of the first online providers of consumer credit, as well as household names Del Monte Foods and the Walt Disney Company. Steve’s passion for technology began early on in life, coding his first database engine and accounting system while he was still in elementary school and co-founding his first software development firm during his high school years.

Empowering the Data Scientist

Today, the analytic needs of most organizations are no longer met by the processes and tools of the data warehouse and data mart models of years and decades past.   Data volumes are growing exponentially… data structures are frequently changing… new data sources are being born every day all over the world, and data reservoirs are being filled, that must be tapped.  Organizations need a model to quickly access all of the data assets of a company and provision them to the analytics platform that is best suited for the analysis at hand. In this session, Steve Hirsch, chief data officer of InterContinentalExchange Group, the parent company of the NYSE, will talk about how his company has empowered their data scientists and eased the burden on IT   through self-service data provisioning, generating significant efficiency gains and cost savings.

#datawest14 has traditionally been hosted in San Francisco but due to huge demand from speakers, delegates & sponsors the 2014 West Coast Big Data Innovation Summit will take place at the Santa Clara Convention Center. The area boasts the world famous Silicon Valley where the worlds largest tech firms have made it home alongside new startups with those aspirations.

Big Data Innovation promises to bring the worlds best speakers together for 2 inspiring, educating & network fueled days.

Register today and you won’t be disappointed.

Chris Towers - IE Big Data Divisional Head

Speaker InformationPresentations Subject to Change

Athena MaikishGlobal Director, Data ScienceStubHub

At StubHub, Athena leads the Analytics, Reporting and Data Science teams, directly managing the senior managers and leading a broader team of 25+ managers, analysts and developers. Athena develops and leads StubHubs vision as it relates to data, and oversee the spectrum of data analysis at StubHub from reporting to business insights to predictive modeling.

The Business Analytics team partners with business owners and Product and Technology streams to define measurable objectives and work towards meeting those objectives by providing data based insights. We also

partner with the Data Services team to appropriately capture, structure and deliver data needed for day-to-day use and in-depth analysis. Athena has built the Reporting Team from scratch. This team provides the first level of visualization of our data. The developers partner with the analysts and business owners to answers key business questions by building an open source based portal that delivers automated reporting and visualization of data.

Amy GershkoffDirector, Customer Analytics & InsightseBay

Dr. Amy Gershkoff is the Director of Customer Analytics & Insights for eBay. Prior to joining eBay, Gershkoff was the Chief Data Scientist for WPP, Data Alliance, where she worked across WPP’s more than 350 operating companies worldwide to create integrated data and technology solutions for WPP’s clients.

She also served as the Global Managing Director of Analytics & Strategy for Burson-Marsteller, a subsidiary of WPP. Previously, she served as the Director of Media Planning at Obama for America, where she was the architect of Obama’s advertising strategy and designed

products for optimizing paid, owned, and earned communications in real-time.

A successful entrepreneur, Gershkoff co-founded Changing Targets Media, an advertising analytics company. For Changing Targets Media’s success, Gershkoff was named one of the nation’s “40 under 40” leading entrepreneurs and was featured in the Washington Post as one of the nation’s most prominent innovators. She was also named one of the Top 50 Women to Watch in Tech.

Riley NewmanHead of AnalyticsAirbnb

Riley Newman is the Head of Analytics at Airbnb.

As an early employee, Riley built the data science team from the ground up. Before Airbnb, Riley was a senior researcher with an economic consulting firm, specializing in

predictive modeling and economic geography; he also spent 8 years working with the U.S. Coast Guard.

Riley holds an MPhil in Development Economics from Cambridge University and degrees in Economics and International Relations from the University of Washington.

more great presentation abstracts coming soon...

Breakout SessionsPresentations Subject to Change

Customer Visualization through Big DataRaj Sen, Group Manager, Customer AnalyticsAdobe

Big Data has been named “the most confusing buzzword of the decade.” Large organizations love the idea, yet many companies lack a clear vision for rolling out Big Data analytics in practical, measured steps.Learn how you can leverage the wealth of organizational and third party online and offline data to gain better customer insights :• Enable a true 360 degree single view of the customer• Use big data to anticipate trends and changes in

customer behavior• Gain the ability to slice and dice information in an ad-hoc

manner• Utilize visualizations to gain insights to make timely,

customer-focused business decisions

Roundtable Session

To SQL or NoSQL? That is the questionDirk deRoos, World Wide Technical Sales LeaderIBM

Many seem to think that SQL is the answer to everything. However, with new NoSQL options and real time stream computing available for data processing, a discussion regarding "fit for purpose" needs to be entertained. In this session, we will discuss SQL,  NoSQL and stream processing as well as ways to use each for their proper "fit" or advantage. We will also show you how to use them together with the new Big SQL capability in InfoSphere BigInsights. We will share best practices on when to use each technology to address specific business cases, using real-world examples.

Panel Session

Hadoop, BI, and NoSQL Future Directions, Opportunities and PitfallsSanjeet Singh, Director, Strategy, Cloud & Big Data SolutionsDell

This session will outline Dell’s perspective on key technologies including Hadoop, NoSQL, YARN, and Business Intelligence tools including Toad BI,Kitenga, and how these and other data processing technologies are evolving and how they are related. The session will explore use cases and customer deployments to illustrate how customers are approaching the need for real time read/write, always on access to big data.

Roundtable Session

The Information

Silver Pass

$1495Access to all sessions &

networking events

$1295Early Bird Price

(until Feb 21)

Diamond Pass

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

membership & Strategic Analysis Report

$1795Early Bird Price

(until Feb 21)

Gold Pass

$1795Access to all sessions, networking events & annual subscription to IE.

membership

$1595Early Bird Price

(until Feb 21)

Registration Pricing

Big Data Innovation 2014Date: April 9 & 10, 2014Location: Santa Clara, CaliforniaVenue: Santa Clara Convention Center Accommodation: Room Blocks Available Plaza Suites Santa Clara ($209 p/n) click to reserve Hilton Santa Clara ($259 p/n) click to reserve

For larger groups or special requests contact: Sean by call ing +1 415 692 5514 or email sforeman@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register: Click or Call

+1 415 692 5514 +1 323 446 7673

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)

REGISTER ONLINE

One Day Pass

$995Access to all sessions, networking events on Day One of the event

$795Early Bird Price

(until Feb 21)

Keynote & Expo Pass

$895Access to all sessions, networking events

until 13:30 on Day One

$695Early Bird Price

(until Feb 21)

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 Feb 21, 2014

President’s Day Silver: $1295 Attendees ____ President’s Day Gold: $1595 Attendees ____ President’s Day Diamond: $1795 Attendees ____

Regular Pass Options after Feb 21, 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 Sean by calling +1 415 692 5514 or email sforeman@theiegroup.com

* Team discounts are applicable at the point of registration only.

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

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 March 7, 2014 incur an administrative charge of 50%. If you cancel your registration after March 7, 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 Innovation SummitApril 9 & 10, 2013 | Santa Clara Convention Center | CaliforniaFor registration or more information on the program, please call Sean on +1 (415) 692 5514, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

Schedule

Networking Drinks 17.00 - 19.00

April 10

Keynote Presentations 08.30 - 12.00Sponsor Zones Open from 07.00

Coffee Break 10.00 - 10.30

Keynote Presentations Continue

Lunch 12.00 - 13.30

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

April 9Day 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

Coffee Break 10.00 - 10.30

Lunch 12.00 - 13.30

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

F TI L

Subject to Change

Big Data InnovationAll tracks begin across different general session areas

Keynote Presentations 08.30 - 12.00Sponsor Zones Open from 07.00

Keynote Presentations Continue

Big Data InnovationAll tracks begin across different general session areas

Sponsors For sponsorship opportunities please get in touch with Giles Godwin-Brown on ggb@theiegroup.com

Platinum Sponsor Platinum Sponsor

Platinum Sponsor Gold Sponsor

Gold Sponsor Gold Sponsor

Sponsors For sponsorship opportunities please get in touch with Giles Godwin-Brown on ggb@theiegroup.com

Silver Sponsor

Silver Sponsor Silver Sponsor

Silver Sponsor

Roundtable Sponsor

®

Silver Sponsor

Sponsors For sponsorship opportunities please get in touch with Giles Godwin-Brown on ggb@theiegroup.com

Exhibitor

Exhibitor

Exhibitor

Exhibitor

Exhibitor

Associate Sponsor

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

NovemberBig Data & Analyticsfor PharmaNovember 5 & 6, Philadelphia

Big Data & Marketing Innovation SummitNovember 12 & 13, Miami

Big Data for Finance November 12 & 13, Boston

Data Science Innovation Summit November 12, Chicago

Big Data FestNovember 27, London

Big Data & Analytics Innovation SummitNovember 27 & 28, Beijing

DecemberBig Data & Analytics in Banking Summit December 3 & 4, New York

OctoberBig Data & Analytics Innovation Summit October 15 & 16, Dubai

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

JanuaryBig Data Innovation SummitJanuary 22 & 23, Las Vegas

FebruaryData Science InnovationSummitFebruary 18, San Diego

Hadoop InnovationSummitFebruary 19 & 20, San Diego

The Digital Oil!eld Innovation SummitFebruary 20 & 21, Buenos Aires

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

JuneBig Data Innovation Summit June 4 & 5, Toronto

Big Data & Analytics for PharmaJune 11 & 12, Philadelphia

Open Data Innovation SummitJune 11 & 12, Boston Big Data & Analytics for Retail SummitJune 19 & 20, Chicago

MayBig Data Innovation SummitMay 14 & 15, London

Big Data & Analytics in Healthcare May 15 & 16, Philadelphia

Big Data & Advanced Analytics inGovernment May 21 & 22, Washington, DC

Chief Data Of!cer SummitMay 22 & 23, San Francisco

SeptemberBig Data & Analytics Innovation SummitSeptember 17 & 18, Sydney

Data Visualization SummitSeptember 25 & 26, Boston

Big Data Innovation SummitSeptember 25 & 26, Boston

Big Data

Women

Finance

CXO Healthcare

Expected

Flagship

Government

High Tech Pharma

Oil & GasHadoop

MarchBig Data Innovation SummitMarch 27 & 28, Hong Kong

2014 Calendar

AprilBig Data Innovation SummitApril 9 & 10, Santa Clara

Big Data Infrastructure SummitApril 9 & 10, Santa Clara

Data Visualization SummitApril 9 & 10, Santa Clara

MayData Visualization SummitMay 14 & 15, London

What you get...• Access to over 200 hours of On-demand training on topics that are important to you, like S&OP, FP&A, Predictive

Analytics , Supply Chain, Strategic Planning, Inventory Optimization, Integrated Business Planning and more• Access to our extensive training library. Whenever your team needs to benchmark or gain some key actionable ideas,

they just watch a quick video.• Monthly newsletters with industry insights and important news - vital for up-to-date info and methodology.

Affordable. Cutting Edge. Convenient. Invest in innovative business education that will help you benchmark and validate current and future initiatives that can be leveraged to optimize business results and effective decision making. IE. membership content spans numerous industry sectors and includes presentations from many of the world’s leading companies.

Learn from leading companies including:

Sign UpNow

click here

F TI L

Membership Exclusive Content for Finance, Operations & Business Analytics.

What is the IE. Network?IE. is the premier forum for Big Data, Finance, Operations Planning & Business Analytics education. Gain insight and optimize results with un-biased actionable business education available on-demand and delivered by your peers. Stay on the cutting edge of the latest trends within S&OP, FP&A & Business Analytics, all without having to leave your desk.