2nd Big Data Business Forum Nov 13th to 15th, 2013 in San Francisco

1 register Today! www.BigDataBusinessForum.com • 1-800-882-8684 • enquiry@iqpc.com
WELCOMESPEAKERSTESTIMONIALS
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WORKSHOPDAYDAYTWODAYTHREESPONSORSREGISTRATION
optimizing Big data
Analytics to Propel
Business results
proudly presents:
November 13 – 15, 2013
San Francisco, CA
PLUS! New this year!
ALL the strategic insights
you need in oNe conference!2NDANNUAL
6+
HoUrS
of creative
networking &
one-on-one
meeting
opportunities
NeTWork
WITH 180+
big data analysts,
technologists and
top level business
executives
www.BigdataBusinessForum.com • Call 1-800-882-8684 • email enquiry@iqpc.com
Sponsors:
Follow Us:
Capture. Create. Analyze. visualize. Predict. Act.
Learn from Top Analysts, Technologists and C-suite Business executives
over 35
USer CASe
STUdIeS
from leading organizations!
Less of the ‘what is’
and more of the
‘how to’!
3 INTerACTIve
WorkSHoPS
Including a
Big Data And
Analytics Crash
Course
All New!
Three Track program
The Data Driven Business Attributes ●
Staffing Big Data Teams ● Putting
Insights Into Action ● Advances In
Predictive Analytics ● Data Privacy
And Compliance ● Big Data Modeling
● The Big Questions to Unlock the
value ● Business Transformation ●
Technology Investment ● And more
case studies than ever!
Mario Faria
Chief Data Ofﬁcer
& Big Data
Technology Advisor
Bill & Melinda
Gates Foundation
Sam Hamilton
VP, Data Technology
Paypal
David Levine
Vice President Informatics
Medical Director
University
Health System
Consortium
(UHC)
Scott Nicholson
Chief Data Scientist
Accretive Health
Steve Raymond
VP, Multimedia Analytics
USA Today Sports
Media Group
Jean-Paul Isson
Global VP Predictive
Analytics & BI
Monster
Worldwide
• FOCUS DAY – Dedicated to Data Driven
Marketing
• THE BIG DATA HACKATHON – An
exciting, high energy session where you
will learn, collaborate and get your
hands dirty through a series of data
challenges, activities and tasks.
• BIG DATA C-SUITE EXECUTIVES TRACK–
Hosting top level business executives from
Fortune 500 companies as they discuss the
strategic impact, implementation
optimization, challenges and
opportunities!
d
Media Partners:

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What’s New For 2013? Networking opportunities
Dear Colleague,
We are very pleased to bring you the 2nd installment of the Big Data Business Forum!
In the past year, more and more businesses are investing in implementing an enterprise wide big data strategy. At Big Data Business
Forum we understand that central to the success of a Big Data strategy is the collaboration and coordination between key stakeholders in
an organization. This year's event offers a unique program that brings together topline executives to share Fortune 500 case studies with
a focus on realizing the value and the ROI. We have incorporated general sessions that bring all stakeholders together in one room to
share experiences on how to collaborate more effectively and drive the success of big data & analytics strategies. Then we drill down and
offer specific peer-to-peer insights in our three tracks for:
We are delighted to bring you the top thought leaders in this field to provide you with the skills and insights needed to accelerate
the path from analytics and insights to real value!
We invite you to review the agenda and see for yourself.
We look forward to seeing you in November!
Sincerely,
Zandile Mnguni
Program Director
• Business Executives • Analysts and Data Heads • Technologists
2NDANNUAL
November 13 – 15, 2013
San Francisco, CA
TrACk oNe: C-Suite Business
executives
TrACk TWo: Analysts
Designed for business executives that use
insights from analytics to make business
decisions and drive performance of their
business operations/functions.
These data custodians referred to as Data
Scientists, make quantifiable connections.
Skillful at seeing links others have missed;
and they're able to understand how these
new insights can be used to fundamentally
change operational practices and business
models.
TrACk THree: IT executives
This track is targeted at the IT executives
that act as the enablers for Data. They
support the systems, software, and
infrastructure to move process and store
the data.
Who Should Attend?
Sponsorship &
exhibition opportunities
If you’re involved in any aspect of the big
data continuum, this event is for you.
This event is rich with key decision makers
looking to make new investments with
organizing and analyzing their data and
driving business initiatives. The Big Data
Business Forum provides a perfect venue to
meet those who are actively seeking new
ideas and solutions to tap into big data.
There are only a limited number of
opportunities left.
For more information on sponsorship
and exhibiting opportunities, contact:
Simon Copcutt at
simon.copcutt@iqpc.com or call
1-212-885-2771. Be sure to visit
www.BigDataBusinessForum/
Opportunities.aspx
to learn more.
If you are a B2B Marketing &
Sales Executive, we have a
created a focus day just for
you on Data-Driven
Marketing and Sales. This day
gives you all the strategies and
tools you require to benefit from
big data and analytics as B2C
companies are successfully
doing. This is a MUST attend!
The Big Data Hackathon – In
conjunction with PeerIndex, see
page 4 of the agenda for details!
New Track Uniquely Designed
for C-Suite Business
Executives
Pre-Conference Day:
12:00 Networking Luncheon
6:00 Opening Night Meet Up
Carry on the conversation with the day’s
speakers and attendees in our private
networking area.
Main Conference Day One:
10.00 Speed Networking Session
Maximize interaction opportunities!
Delegates will be able to discuss, on a one-
on-one basis, big data and analytics issues
and challenges with speakers and sponsors
in this informal environment. Bring plenty of
business cards to make the best use of this
chance to get your ideas heard and your
critical questions answered.
Roundtable Discussions are 30-minute casual,
small group dialogues designed to explore topics
in a more interactive setting. They are designed
for peer-to-peer mentoring and provide you with
an opportunity to interact with the day’s speakers
and session leaders. Topics will be chosen based
on attendee suggestions and sign-up is onsite.
6:00 Cocktail Reception
Main Conference Day Two:
8:00 C-Suite Breakfast Briefings (by invite only.
Please contact zandile.mnguni@iqpc.com for
more information)
Roundtable Discussions
SEE PAGES 5 & 6 FOR A
COMPLETE SCHEDULE OF EVENTS!

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2013 Speaker Faculty
our speakers will showcase user case studies highlighting the opportunities,
challenges and solutions in the Big data journey over three content packed days!
Sam Hamilton
VP, Data Technology
Paypal
Scott Nicholson
Accretive Health
Mike Olsen
Co-Founder &
Chief Strategic Officer
Cloudera
Steve Raymond
USA Today Sports Media
Group
David Levine
Vice President Informatics/
Medical Director
University Health System
Consortium (UHC)
Mario Faria
Chief Data Officer & Big Data
Technology Advisor
Bill & Melinda Gates Foundation
John Reynders
Chief Information Officer
Moderna Therapeutics
James Obermayer
Exec. Director
The Sales Lead Management
Association
Brian Hopkins
Principal Analyst, Enterprise
Architecture
Forrester Research
Jean-Paul Isson
Global VP Predictive
Analytics & BI
Monster Worldwide
Sameer Chopra
VP, Advanced Analytics
Orbitz Worldwide
Joel Warady
Chief Sales & Marketing
Officer
Enjoy Life Foods
Michael Kaushansky
EVP, Chief Analytics Officer
Havas Media
Donald Hinman
SVP, Data Strategy
Epsilon
Kris Hammond
Chief Technology Officer
Narrative Science
Mischa Tuffield
PeerIndex UK
Kira Chuchom
Data Governance,
Data Management
Organization
Microsoft
Raghu Nambiar
Distinguished Engineer
Cisco Systems
Alison Shaffer
Director Data Strategy
Dell
Jim Smith
General Partner
Mohr Davidow
Shira Guil Witelson
Director Analytics Modeling
J.Crew
Brian Schmucker
Director – Analytics, Sales
Process Improvement
Kelly Services
Jerome Boulon
Director, Big Data
Riot Games
Christine Smiley
Director of Consumer Insights
Michaels Stores Inc.
Natasha Balac, Ph.D.
Director, Predictive Analytics
Center of Excellence
San Diego Supercomputer
Center University of
California San Diego
John M. Coe
President
The Sales & Marketing
Institute
Tony Flanery Rye
Director, Global Analytics
Expedia
Chris Taylor
Global Executive Coordinator,
Global Data Team
Whole Foods Market
Pavandeep Kalra
Head of Product Management
and Strategy
Nokia
Ravi Prasad
Head, Analytics, Strategy and
Innovation
Liberty Mutual
Rahul Todkar
Head Of Marketing Analytics
Intuit, Inc.
Arek Kaczmarek
Big Data Solutions Engineer
Expedia, Inc.
Dana Zuber
Enterprise Data & Analytics
Group
Wells Fargo Bank
Jim Wheaton
Founder
B2BMarketing.com
Kerstin Kleese van Dam
Associate Division Director
Pacific Northwest National
Laboratory (PNNL)
@BigDataIQ #BDBF
= C-Suite Level Speaker

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Here’s What our Speakers
Are Saying About Big data…
Stay Tuned for the 2013 Speaker
eBook which will include a full
“Big data Proﬁle” from each of
our speakers!
@BigDataIQ #BDBF
“ I foresee the analytics future to be bright
with opportunities increasing in many
areas. Data will become less valuable,
while analytical insights become more
valuable and predictive modeling
becomes the new de facto
standard.”
Jean-Paul Isson, Global VP
Predictive Analytics & BI,
Monster Worldwide
“ The ability to truly have an integrated
health record that is readily
accessible will lead to maximizing
health care outcomes.”
David Levine, Vice President Informatics/
Medical Director, University Health
System Consortium (UHC)
“ A data scientist needs to be able to learn and apply new
capabilities at a very fast clip to ensure the best big data solution
is brought to bear to enable critical decisions in the business.”
John Reynders, Chief Information Officer, Moderna Therapeutics
“ The big challenge is finding
the right people to support
the projects. With cloud
computing, technology has
become a commodity. And
data is everywhere. People,
on the other hand, are now
the critical path for the
success of any Big Data
project.”
Mario Faria, Chief Data Officer
& Big Data Technology Advisor,
“ Without the human element as the
reference point, the data is just a large
dataset of numbers, with no real
meaning. It is the understanding
of why people do what they do
that helps make big data
meaningful.”
Joel Warady, Chief Sales &
Marketing Officer,
Enjoy Life Foods
“ The most important skill in the big data journey is the ability to
turn the Rubrics Cube of data in many directions to unlock the
information that only the most curious mind can uncover.
James Obermayer, Exec. Director, The Sales Lead Management Association

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07.30 Registration & Coffee
08.00 Chairperson’s Welcoming Address
08.15 KEYNOTE: Headline Mystery Presentation
10.00 Speed Networking Session Maximize interaction opportunities!
Delegates will be able to discuss, on a one-on-one basis, big data and analytics issues and challenges with speakers and sponsors in this informal environment.
Bring plenty of business cards to make the best use of this chance to get your ideas heard and your critical questions answered. (To sponsor this session, please email sponsorships@iqpc.com)
08.45 KEYNOTE ADDRESS: Monetizing In-House Big Data Solutions
09.15 KEYNOTE: The Data Driven Business Attributes
Agenda At A Glance
08.00 Registration
09.00 Chairperson’s Opening Remarks : Industry Overview – The Burning Questions For
The B2B Marketer
09.30 Developing A Data Strategy And An Integrated Marketing and Sales Database
10.30 Networking Refreshment Break
11.00 Data-Driven Marketing – It’s All About Leads How to increase qualified leads by 300%
12.00 Networking Lunch Break
1.00 New Sales Coverage Models
2.00 Best-Practices Analytics, Testing, and Measurement for B2B Marketers
3.00 Afternoon Refreshment Break
3.30 B2B Big Data – The New Kid on The Block
4.30 End Of Focus Day
Pre-Conference Workshop and Focus day Wednesday, November 13, 2013
Note: Workshop Day and Focus Day will be happening concurrently
Pre-Conference Focus day: B2B Data-Driven Marketing And Sales
09.00 Registration
10.00 WORKSHOP A: Big Data And Analytics Crash Course
12.00 Networking Luncheon
1.00 WORKSHOP B: Building A Big Data Platform
3.00 WORKSHOP C: Developing The Ability And Capability For High-Performance Data
Processing
5.00 End Of Workshop Day
6:00 Opening Night Meet Up
Pre-Conference Workshop day
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Main Conference day one Thursday, November 14, 2013
dAY
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CONCURRENT TRACK SESSIONS BEGIN
Track One – Big Data C-Suite Executives Track Two - Analysts
11.00 KEYNOTE ADDRESS: Aligning Business and IT On The Big Data Journey
11.30 CASE STUDY: Putting Insights Into Action - Leveraging Information To Drive
Efficiency In Business Operations
Staffing Big Data Teams – Core Competencies Required To Drive A Successful Big Data Strategy
When The Big Data Strategy Fails – Turning Failure Into Success
STAY TUNED!
@BigDataIQ #BDBF

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Agenda At A Glance continued
12.00 Networking Luncheon With Roundtable Discussions
1.00 Articulating The Value – Selling Big Data To Internal Stakeholders
1.30 Big Data in the Life Sciences – The Good, Bad, and the Ugly
2.00 Networking Afternoon Refreshments
2.30 CASE STUDY: Tracking performance of the Big Data strategy
3.00 CASE STUDY: Building Analytics Community of Practice at Wells Fargo
3.30 Big Data Modeling - Hierarchical Media Mix Model (HMMM)
Advances In Predictive Analytics
CASE STUDY – Large Data Predictive Analytics On A Smart Grid
Exploring Data Privacy And Compliance Requirements
PANEL DISCUSSION: Traditional Analytics – Phase Out Vs. Integration
3.30 Hackathon Presentations & Winner Announced
4.45 Science of Influence - How we measure influence online
5.30 End of Conference Day Two
08.15 KEYNOTE ADDRESS: Cutting Through The Hype – What Big Data Cannot Help You Accomplish
08.45 KEYNOTE ADDRESS: Smart Data – The Next Level Of Value?
09.15 Emerging Technology Innovators Panel – Four Companies You Should Take Notice Of
Main Conference Day One & Two – Thursday & Friday, November 14 & 15, 2013
Big data Hackathon: visualize, Analyze, Create
Main Conference day Two Thursday, November 14, 2013
dAY
THree
10.45 The Big Questions That Will Unlock The Power Of Your Big Data And Analytics Outcomes
11.15 CASE STUDY: Big Data Strategies for Companies with Small Data Budgets
12.00 Networking Luncheon with Roundtable Discussions
1.00 CASE STUDY: A Different View Of Supply Chain Within A Service Industry - Kelly
Services Using Analytics To Enhance The Talent Supply Chain
1.30 Online Attribution Modeling
2.00 Effective Strategies For Developing An Enterprise-Wide Big Data Framework
3.00 Determining Where To Place Your Technology Investment For Big Data And Analytics
Overcoming The Frustrations Of Database Management
CASE STUDY: Building Eight Core Elements Of A World Class Consumer Data &
Analytics Capability At Nokia’s Location & Commerce Business
Quality Management - Ensuring Validity Of Data
CASE STUDY: Big Data Analytics in P&C Insurance - Fraud Management Analytics &
Catastrophe Management Analytics
The Real Risks Of Hadoop - What The IT Department Needs To Consider
4.15 CLOSING KEYNOTE: Expert Presentation: The Next 5 Years - Big Data Trends And
Predictions
5.00 End of Main Conference Day One
6:00 Cocktail Reception
7.30 - 8.15 C-Suite Breakfast Briefings (Invite Only)

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08.00 Registration
09.00 CHAIRPERSON’S OPENING REMARKS: Industry Overview – The
Burning Questions for the B2B Marketer
In the last 10 years there have been dramatic changes in the B2B marketing and sales
world. The situation facing the B2B marketers is that the tried-and-true traditional
methods B2B companies have used to market and sell are not as impactful and effective
as they have been historically. The direct consequence is the apparent attempt to shift
towards Data-Driven Marketing and Sales. The question confronting everyone is how
best to do it? The heart of Data-Driven Marketing and Sales revolves around data and the
database. The following five intense sessions are structured to sequentially lead you
through the steps necessary to effectively move your firm rapidly into deploying the
strategy and tactics of Data-Driven Marketing and Sales.
Five of the most significant shifts coupled with burning questions that will be answered are:
• The buyer is now in more control of the buy/sell equation and sellers are running hard
to catch up. What is now our new and best go-to-market strategy?
• Technology has invaded all aspects of marketing and sales, yet much of it is
underutilized and/or not even deployed. What technology should we choose and how
can we insure the marketing and sales people actually use it?
• There are many new sources of B2B data in the market, but what data and/or lists are
accurate, and can we trust and use them?
• Traditional outbound marketing must now be balanced with inbound and social
marketing, but what is the right mix and balance for our company?
• Executives are demanding productive improvements and true result measurements for
both marketing and sales. How do we achieve these improvements and more accurately
measure results?
John M. Coe
President
The Sales & Marketing Institute
B2B DATA-DRIVEN MARKETING AND SALES
Our Focus Day offers you an intimate setting where you will have an opportunity to discuss emerging trends in data driven marketing and sales. This is one of the biggest issues for marketing executives in
the B2B space. This day gives you all the strategies and tools you require to benefit from big data and analytics as B2C companies are successfully doing. It is an ideal way to find out the key practical
information and insights you need to know for success and staying relevant in a dynamic market. This will be a great opportunity to learn how to leverage the power of your biggest commodity, data.
09.30 Developing a Data Strategy and an Integrated Marketing and
Sales Database
This is the first and most critical step is in developing a data strategy customized to your
market and business model. B2B companies are so varied that no single approach will
work for all. This first session details the steps required to develop a customized and
integrated marketing and sales database, for to paraphrase Mark Twain, “If you don’t
know where you are going, you probably won’t get there.” This session gives you the
tools to create a road map and guide posts for the first step in the Data-Driven Marketing
and Sales journey.
• Determine and audit all of the internal data sources to check for both accuracy and
completeness
• Segment all the key markets to determine the data elements required to define the
segmentation criteria plus the data characteristics of the companies and contacts
• Determine all the outside data sources and lists that align with the segmented markets
and/or company criteria
• Debate and decide on what data is needed vs. wanted in the database, as trying to
gather too much data is a project and even a career killer
• Define the methods required to keep the database updated and accurate
• Evaluate the pros and cons of building the database internally or externally
• Agree on data governance rules and individual’s access and change authority
Donald Hinman
SVP, Data Strategy
Epsilon
Pre-Conference Focus daydAY
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Note: Workshop day and Focus day will be happening concurrently
Wednesday, November 13, 2013 @BigDataIQ #BDBF

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11.00 It’s All About Leads - How to Increase Qualified Leads By 300%
In B2B 80-90% of all marketing activities and budgets are devoted to demand generation
or in simpler terms – leads! Historically, this has been the primary interface with the sales
groups, and we all know that it has not gone well. So what can be done to not only
improve the lead process, but make sales people fans of marketing? Typically, when a lead
system needs improvement it’s one or more of the following steps and processes that
require improvement and better data. Each step will be fully explored as to how it can and
will improve the results. This session will demonstrate how you can increase lead to
conversion rates by at least 10-20%, to increase market share and grow revenue margins.
• First contact - how should it be treated and how much information (data) can be
requested from the individual who is inquiring?
• Lead qualification – aligning marketing and sales as to what constitutes a qualified lead
• Developing a lead nurturing process - keeping unqualified leads engaged until such
time they are qualified for sales hand-off
James Obermayer
Exec. Director
The Sales Lead Management Association
1.00 New Sales Coverage Models
From the beginning of time, sales staff has been solely responsible for converting leads
and building relationships and sales with current customers. Sales executives have
traditionally been seen as gatekeepers of customers, predominantly controlling and
limiting marketer to customer communication. Those days are over with most B2B
companies now being in the process of redesigning the sales coverage approach and
models. In doing so, the marketing and sales database is at the centre of this revolution.
This session will detail the best sales coverage models and data required to execute. Learn
how you can benefit from significant improvement in sales productivity and customer
relationships that even sales people will be enthusiastic about.
Key topics covered:
• The key issues facing sales people and their impact on revenue and margin
• The CRM story and why sales people do not use this software to full advantage, and
how to change that.
• Defining the customer contact tree and how to gather the contact names and other
data needed.
• The options to design an improved sales coverage model that will produce at least a
10% increase in sales at the same or lower cost.
• The steps necessary to insure data accuracy and completeness.
For speaking opportunities, email enquiry@iqpc.com
2.00 Best-Practices Analytics, Testing, and Measurement for B2B Marketers
Let’s face it…when it comes to data-driven marketing, most B2C companies have a big head-
start as opposed to B2B companies! In fact, many B2B companies are a decade or two behind
the most sophisticated B2C practitioners. But, the bad news does not end there…
Data-driven marketing is much more difficult in B2B than in B2C because it is tougher to clean,
organize and maintain B2B data. How do you counteract the highly-volatile contact information?
It is tougher to analyze B2B data. For example, should you track the individual, the location, or
the company? Or, all three? And, with sold-to/bill-to/ship-to contact information, who is the real
decision maker? It is tougher to test and measure B2B sales and marketing efforts. For example,
how do you counteract the small sample quantities and extreme variance in order sizes? This
session provides an easy-to-understand overview of effective tools, techniques and strategies.
Learn best practices in data-driven B2B marketing, including:
• Statistics-based predictive modelling for enhanced allocation of sales and marketing resources.
• Lifetime value analysis for more effective prospecting.
• Testing and measurement that is geared to multi-channel B2B environments.
• Insightful Key Indicators and Metrics (“KIMs” or “Dashboard”) reports.
• Thought-provoking case studies. For example, how to create a Field Sales Early
Warning/Intervention System from predictive models.
Jim Wheaton
Founder
B2BMarketing.com
3.00 Afternoon Refreshment Break
3.30 B2B Big Data – The New Kid on The Block
Quite a bit has been written and talked about recently on the topic of Big Data. While there is
no question that Big Data is very useful in B2C, the jury is out as to how it applies to B2B.
Some B2B companies are sure to gain value from diving into the new world of unstructured
data and they are likely to be only large firms. At the end of this session, you will walk away
with an understanding of Big Data and whether or not it applies to your company.
Key Topics:
• What actually is Big Data as there are numerous definitions in the market
• How might it apply to your B2B firm
• If so, what are the latest technologies and methods to use
• What are the results from this analysis and how to integrate them into the marketing and
sales database
4.30 End of Focus Day
6.00 Opening Night Meet Up
Carry on the conversation with the day’s speakers and attendees in our private networking area.
Pre-Conference Focus day continued

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Note: Workshop day and Focus day will be happening concurrently
Wednesday, November 13, 2013
09.00 Registration
10.00 WORKSHOP A: Big Data and Analytics Crash Course
• Do you feel you need to get up to speed on the basics before you can fully embrace the
main sessions during the 2nd Annual Big Data Business Forum?
• Are in the early phases of your journey and want to ensure that you are headed in the
right direction for your business?
• Have you been disappointed with your organizations Big Data strategy so far and feel
like a change in direction or even a turnaround plan?
If any of the above applies to you, this intensive “back-to-basics” course in an absolute
must before you attend the main event.
Big Data goes beyond Volume, Velocity & Variety. It’s all about using a valuable and often
readily available resource to meet key business objectives. The big questions for those in
the early stages of a Big Data roll out or those wanting a turnaround strategy or a boost,
are the “what, how, when and where?”
The workshop agenda will focus on:
• What exactly is Big Data?
• Critical success factors for any Big Data and analytics implementation
• Defining the project scope – storage, mining, processing and reporting
• Recognizing the critical importance of the “customer”
• People and organization structures
• Systems/technology and applications
• Cost-benefit analysis/ROI
• Considering the role of benchmarking
1.00 WORKSHOP B: Building a Big Data Platform
IT executives often buy software from a vendor company because of its undeniable
convenience. Other companies, however, are tailoring their own solutions and building in-
house big data platforms and solutions.
The Walt Disney Company is one such example having crafted a large custom platform
out of Hadoop, NSQL databases and other open-source technologies. Some of the
benefits that Disney enjoys from this includes huge cost savings and flexibility.
• Selecting the right foundation for your platform
• Enlisting outside technical support partners
• Techniques for appealing user interfaces to encourage use
Jerome Boulon
Director, Big Data
Riot Games
3.00 WORKSHOP C: Developing The Ability and Capability for High-
Performance Data Processing
The most widely used frameworks for Big Data processing are MapReduce, developed by
Google, and its open source implementation from Yahoo, Hadoop. MapReduce is not
suitable for real-time computation and open-source real-time alternatives to Hadoop are
still immature. Other use models exist in which real-time information from highly dynamic
sources is required, hence the introduction of complex event-processing (CEP) systems that
operate not on static data but on continuous and streaming data. As data continues to
increase exponentially in volume and variety, performance speeds become extremely
strained resulting in longer waiting times for actionable data. This workshop will give you
high level and practical strategies on Big Data processing, focusing on the following areas:
• Hadoop vs. Complex event-processing (CEP) systems
• Going beyond simple batch processing – what else is out there?
• The convergence of big-data and low-latency processing
Arek Kaczmarek
Big Data Solutions Engineer
Expedia, Inc
5.00 End of Workshop Day
6.00 Opening Night Meet Up
Carry on the conversation with the day’s speakers and attendees in our private networking area.
“ Big data is at the foundation of all of the megatrends
that are happening today, from social to mobile to the
cloud to gaming.”
Chris Lynch, ex-Vertica CEO
@BigDataIQ #BDBF

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Main Conference day onedAY
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Sameer Chopra
VP, Advanced Analytics
Orbitz Worldwide
08.15 Big Data Big Brother & Your Brand
We’ve all read the recent reports about federal government using big data to monitor and
keep track of the public. This has brought the use of data analytics to the attention of the
public at large. Fear, distrust and speculation alike exist about what companies are really
doing with customer data. The use of data has been proven to have a direct correlation to
brand quality and revenue. So how do you dispel fear, build consumer trust and
confidence in such a discerning environment? Unpack these issues and give you the tools
you need to face the challenges.
08.45 KEYNOTE ADDRESS: Monetizing In-House Big Data Solutions
Companies like Sears Holdings are taking advantage of gaps within the big data analytics
market and now provide a managed-services model to other large-scale traditional
enterprises. End –user organizations that also want a slice of the billion dollar big data pie
are seeing the potential of generating new revenue streams by commercializing their in-
house solutions. It is not without risks however as with any business venture. Competing
against the most innovative and established solutions providers is not something that can
be taken lightly. Others argue that who better to create a solution for the business users
than business users themselves? But what will it take to break into this market?
Mike Olsen
Co-Founder & Chief Strategic Officer
Cloudera
09.15 The Data Driven Business Attributes
Big Data continues to be a major topic of discussion, catalyzing attention among the C-
Level executives and driving investments for enterprises. But there is one component that
can put halt any initiative: THE ANALYTICS MATURITY OF YOUR BUSINESS. How prepared
is your company to implement and use the available data, the high end modelling
techniques and the data & analytics experts? From what I have learned and experienced,
companies are still not adequately prepared and this will hurt the ability to compete in the
market. This presentation will help business line executives and data professionals to
understand the steps needed to create a data driven organization, by making the right
decisions, while providing some real life examples on companies which did it successfully
and some who failed miserably.
Mario Faria
Chief Data Officer & Big Data Technology Advisor
10.00 Speed Networking Session Maximize Interaction Opportunities!
Delegates will be able to discuss, on a one-on-one basis, big data and analytics issues and
challenges with speakers and sponsors in this informal environment. Bring plenty of
business cards to make the best use of this chance to get your ideas heard and your
critical questions answered. (To sponsor this session, please email sponsorships@iqpc.com)
“ I keep saying that the sexy job in the next 10 years
will be statisticians, and I’m not kidding.”
Hal Varian, Chief Economist at Google
look out for the announcement of
our special 2013 headline speaker!
PrePare to be
blown away!
@BigDataIQ #BDBF

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11.00 KEYNOTE ADDRESS: Aligning Business and IT on The Big Data
Journey
A big challenge to the success of Big Data is creating and alignment between the business
and IT stakeholders. Business-IT partnership is one of the most critical aspects to
successful Big Data implementation that is aligned with business objectives. Yet we
continue to see a disconnect between these two business functions. The business wants
real-time insights and data; IT seems to act only as a barrier and gatekeeper to data. This
presentation will give you the strategies you need to close this gap for good!
Sam Hamilton
VP, Data Technology
Paypal
11.30 CASE STUDY: Leveraging Big Data and Analytics Using Multiple
Databases to Drive the Highest Quality of Healthcare Delivery
UHC has developed a Bundles of Care tool which combines patient hospital based claims
data from the Clinical Data Base (CDB) with physician claims data from the Faculty
Practice Solutions Center (FPSC) to look at delivery of care. The five focus areas include
knee replacement, hip replacement, aortic valve replacement, CABG, and kidney
transplant. This presentation will focus on how the tool was developed and the challenges
in integrating data from multiple databases. David Levine will share some of the
challenges of handling encounters not fully captured by the databases and the future
direction of leveraging Big data and analytics. Learn how Big Data and analytics leveraged
by UHC is aiding to identify areas that will have the greatest impact on reducing cost,
reducing unnecessary variation, improving quality for the continuum of healthcare
delivered partially by Academic Medical Centers to provide the best patient experience
and outcomes.
David Levine
Vice President Informatics/ Medical Director
University HealthSystem Consortium (UHC)
Luncheon Roundtable Discussions
30-minute casual, small group dialogues designed to explore topics in a more interactive setting. They are designed for peer-to-peer mentoring and provide you with
an opportunity to interact with the day’s speakers and session leaders. Topics will be chosen based on attendee suggestions and sign-up will be onsite.
Companies interested in sponsoring a round table, please contact enquiry@iqpc.com
Staffing Big Data Teams – Core Competencies Required to Drive
a Successful Big Data Strategy
According to a report by McKinsey & Co., the U.S. could face a shortage by 2018 of
140,000 to 190,000 people with "deep analytical talent" and of 1.5 million people
capable of analyzing data in ways that enable business decisions. Companies are already
being faced by the challenge of this shortage in suitable analytics personnel. This session
discusses:
• Core competencies of analytics staff
• Strategies for building a Big Data team from within
• Outsourcing vs. Upskilling
Chris Taylor
Global Executive Coordinator, Global Data Team
Whole Foods Market
When The Big Data Strategy Fails – Turning Failure Into Success
• Understanding the risks of poor Big Data and analytics implementation
• Key reasons why Big Data initiatives fail – the early red flags that are often ignored
• Going back to the drawing board – shifting focus from technology to business
objectives
• Getting the right people investments to extract the value from Big Data
Tony Flanery Rye
Director, Global Analytics
Expedia
Main Conference day one continued

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1.00 Articulating The Value – Selling Big Data to Internal Stakeholders
Executives looking to procure technologies and back-end systems for Big Data and
Analytics are being asked to demonstrate the value- add and show the Return on
Investment (ROI). In spite of all the reported benefits, this is still a tough aspect to
measure. This session gives you the tools and strategies to better communicate the
immediate and long term return on investment on your culture, your processes and your
bottom line that come with a Big Data and Analytics investment.
Steve Raymond
USA Today Sports Media Group
1.30 Big Data in the Life Sciences – The Good, Bad, and the Ugly
Why do some investments in big data yield a treasure trove of incredible insights –
whereas other investments yield only a big bill?
Learn about the variety of big data challenges facing the life sciences industry across
dimensions of scale, diversity, complexity, and mining. In the pharmaceutical industry,
these challenges occur at all phases of the pipeline. Specific cases in discovery,
personalized medicine, and R&D search will be covered in the presentation. Examples of
effective deployment – and perhaps more importantly – big data pitfalls and traps will be
a fun part of the discussion! Finally, we’ll explore one of the most important elements for
success in any Big Data strategy: starting with the right question to drive your big data
solution and ensure delivery of value and insight. What is New: Going beyond examples
of scale – the larger challenges of data diversity and complexity will also be covered and
brought to life with real-world examples. Success factors – and failure modes – that will
make or break your big data investment will be covered.
John Reynders
Chief Information Officer
Moderna Therapeutics
2.00 Networking Afternoon Refreshments
Advances in Predictive Analytics
The ability to make sense of data, to translate emerging information into new
knowledge, policies, decisions, and ultimately, economic success, is foundational to US
science and energy missions as well as any area of business. While technological
advances have led to an exponential growth in the volume, rate, and heterogeneity of
the data available, we must match these advances with attention to the underlying
computing challenges in timely knowledge discovery. Our focus is hereby evermore
directed towards new solutions for the continuous synthesis of knowledge (always on
analysis), the generation of candidate explanations for emerging phenomena in our large
streaming data volumes (analysis in motion) and in distributed environments (analytics at
the edge). This talk will present a number of new approaches developed for the most
demanding data challenges in the science and national security domains that could have
equal applicability in the business world.
Kerstin Kleese van Dam
Associate Division Director
Pacific Northwest National Laboratory (PNNL)
CASE STUDY – Large Data Predictive Analytics on a Smart Grid
Natasha Balac, Ph.D.
Director, Predictive Analytics Center of Excellence
San Diego Supercomputer Center University of California San Diego
CONCURRENT TRACK SESSIONS CONTINUE
“ Listening to the data is important… but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds
filtered through a human brain rather than a math model?”
Steve Lohr, Reporter, Technology, Business and Economics, New York Times
“ Data never sleeps. Every minute of the day Apple receives
around 47,000 App downloads, Brands and Organizations
receive 34,722 Likes, 571 new websites are created,
Facebook users share 684,478 pieces of content, Google
receives over 2,00,000 search queries, Twitter users send
over 1,00,000 tweets, Consumers spend $2,72,000 on
web shopping”
smallbusiness.yahoo.com

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2.30 CASE STUDY: Putting Insights Into Action - Leveraging
Information to Drive Efficiency in Business Operations
This session showcases a real life example of how the insights gained from Big Data
analytics helped an organization make decisions based on real-time information. Hear
how the insights were validated and the processes and protocols that were followed to
action the insights effectively.
Christine Smiley
Director of Consumer Insights
Michaels Stores Inc.
3.00 CASE STUDY: Building Analytics Community of Practice at Wells
Fargo
Dana Zuber
Enterprise Data & Analytics Group
Wells Fargo Bank
3.30 CASE STUDY: Big Data Modeling - Hierarchical Media Mix Model
(HMMM)
Using Big Data to optimize marketing investment along a consumer’s path to purchase,
by understanding each step in the journey and how each marketing channel delivers
content in the right context to influence purchase behavior. Learn how we fused cookie-
level data alongside traditional marketing investment to create the perfect marketing
dataset to model our consumer’s path and relative consumption of our advertising and
impact that had on brick and mortar car sales. Using of Big Data warehouse we were
able to create a structured dataset to build statistical models to define correlations
between advertising stimuli and actual vehicle purchase behavior. We brought a new
wave of innovation and thinking to Media Mix modeling by leveraging Big Data, Big
Systems and paying close attention to the consumer journey from ad-exposure all the way
to a dealership sale. The results will demonstrate the impact Hierarchical Media Mix
Model (HMMM) delivers in marketing efficiency and driving dealer sales.
Michael Kaushansky
EVP, Chief Analytics Officer
Havas Media
Exploring Data Privacy and Compliance Requirements
Big Data offers a vast amount of benefits, but this practice is not without its fair share of
risks. Some companies have discovered the hard way that if they are not careful, it is
possible to expose private information through big data analysis. Companies need to
balance the need to analyze results with best practices for security and governance. This
session will give essential strategies for ensuring data privacy & security and will also
highlight key regulations that will impact you.
• Ensuring compliance to data security requirements – matching internal policy and
requirements with external service providers’ measures
• Developing a security breach notification strategy for quick reaction to security
incidents
• Keeping control of your data – how to encourage vendor transparency
Alison Shaffer
Director Data Strategy
Dell
PANEL DISCUSSION: Traditional Analytics – Phase Out vs.
Integration
MapReduce and procedural analytics at scale have taken-off in the last 2 years. This has
thrown into question the future of the more traditional analytics (SQL). Organizations are
asking whether they should cut their losses and completely eliminate traditional analytics,
or integrate the old with the new. In this group discussion, hear some of the thoughts and
ideas of leading analytics executives and they map out the future of traditional analytics.

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4.15 CLOSING KEYNOTE: Expert Presentation: The Next 5 Years - Big Data Trends And Predictions
The excitement and intrigue around Big Data continues to grow, however, there are a few who believe that the Big Data bubble will blow over the next few years while other’s foresee it being
establishing as an integral part of any businesses practices. There is a lot of speculation regarding the future of this field. Avoid the speculation and get validated facts, figures and forecasts from real
industry leaders and experts.
Brian Hopkins
Principal Analyst, Enterprise Architecture
Forrester Research
Big data Hackathon: visualize, Analyze, Create
Main Conference Day One & Two – Thursday & Friday, November 14 & 15, 2013
Join us for our very exciting two day coding fest open to all designers,
engineers, architects and developers focused on building apps, mashups and APIs!
Data heads and technologists will attend as teams of five or individuals can adopt a team onsite. Teams will be
presented with datasets hosted on a specified platform. Teams will learn, collaborate and create through a series
of challenges, presentations, and activities.
The Big Data Hackathon is run in conjunction with PeerIndex UK. To register your team,
email zandile.mnguni@iqpc.com
A Big data
Business
Forum
First!
“ An idea not coupled with action will never get any bigger than the brain cell it occupied.”
Arnold Glasow, American Businessman

AGENDAAT
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Main Conference day TwodAY
THree
Friday, November 15, 2013
7.30 - C-Suite Breakfast Briefings
8.15 (By invite only. Please contact zandile.mnguni@iqpc.com for more information)
08.15 KEYNOTE ADDRESS: Cutting Through the Hype – What Big Data
Cannot Help You Accomplish
Contrary to popular belief - big data is not a magic bullet. Like many opportunities, it
comes with a variety of factors that could also lead to failure. Some organizations are
under the fallacy that Big Data will guarantee them the best decisions, the biggest market
share, excellent customer experience and surety that their businesses will multiply profit
margins. This is in fact not the case and companies who have this misconception are
headed for disappointment. This keynote will unpack business aspects and outcomes that
Big Data may not be able to help you achieve. You won’t want to miss this reality check!
Scott Nicholson
Accretive Health
08.45 KEYNOTE ADDRESS: Smart Data – The Next Level of Value?
In recent months, there has been discussion that it may be time to move past Big Data
and progress to the newer concept of “Smart Data” for smarter business decisions. But
what is Smart Data and how is it different from Big Data? This dialogue suggests that in
order to be smart some of the attributes that data should encompass includes being
accurate, actionable, and agile. In this keynote address, hear more about this emerging
concept and assess your readiness to progress from bid to smart.
09.15 EMERGING TECHNOLOGY INNOVATORS PANEL – Four Companies
You Should Take Notice Of
Hear short stories from up and coming big data and analytics thought leaders that are
making waves in this space.
Facilitated by: Jim Smith
General Partner
Mohr Davidow
10.45 The Big Questions That Will Unlock the Power of Your Big Data
And Analytics Outcomes
Most of organizations are now very familiar with the concept of Big Data and the ground
breaking capabilities that it offers. However, to the get the ultimate results from Big Data, it
is essential that we ask the right questions, the “Big” questions. What insight are we trying
to get? How will we action them? How do we validate the intelligence? How do we
extract the value?” This unique keynote presentation will dissect some key outcomes and
questions we should be asking to maximize Big Data results.
Jean-Paul Isson
Global VP Predictive Analytics & BI
Monster Worldwide
Overcoming the Frustrations of Database Management
Business executives want the ability to make decisions based on real-time, accurate data for
business analysis and reporting purposes. However, as big data gets bigger it is getting
harder for IT managers to manage, deliver and maintain high databases performance. In
this session we provide you with the tools to turn frustrations into successes.
• The challenges of the parallel database system
• Cost effective database management options
• Web-scale data management and analysis
• Architectures that best support the load balancing and failure-handling needs of
scalable data management
Raghu Nambiar
Distinguished Engineer
Cisco Systems
@BigDataIQ #BDBF

AGENDAAT
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Main Conference day Two continued
11.15 CASE STUDY: Big Data Strategies for Companies with Small Data
Budgets
Learn how one rising company navigates through the ocean of Big Data to identify, extract,
and utilize meaningful information on a limited budget, with limited technological resources
at its disposal. Its winning strategy has resulted in this company experiencing revenue
growth of + 80% over the last 26 months.
Joel Warady
Chief Sales & Marketing Officer
Enjoy Life Foods
Luncheon Roundtable Discussions 30-minute casual, small group dialogues designed to explore topics in a more interactive setting. They are designed for peer-to-peer
mentoring and provide you with an opportunity to interact with the day’s speakers and session leaders. Topics will be chosen based on attendee suggestions and sign-up will be onsite.
Companies interested in sponsoring a round table, please contact enquiry@iqpc.com
1.00 CASE STUDY: A Different View of Supply Chain Within a Service
Industry - Kelly Services Using Analytics to Enhance the Talent
Supply Chain
The staffing service industry has recognized the importance of supply chain management and
the ensuing explosion of managed service providers. Kelly Services is implementing big data
and analytics to clearly identify and articulate where and what talent is needed by customers
and the appropriate skill match to successfully place that talent from multiple supply sources.
This presentation showcases how Kelly is using predictive analysis from the internal demand
data as well as external labor market and current economic trends to drive pipelining activities
and search out the talent that will be needed in the future. Find out how utilization of
demographic as well as psychographic information has helped Kelly to drive efficiency by
creating the ability to better understand who that critical talent is, and how they want to work.
Brian Schmucker
Director – Analytics, Sales Process Improvement
Kelly Services
1.30 Online Attribution Modeling
Shira Guil Witelson
Director Analytics Modeling
J.Crew
CASE STUDY: Building Eight Core Elements of a World Class
Consumer Data & Analytics Capability At Nokia’s Location &
Commerce Business
Aspire an organization to become a data-driven company where business decisions are
made based on sound consumer data and insights. Build world-class Consumer data and
analytics capability that drives more personalized and higher-value consumer experiences
and helps capture emerging opportunities. Establish a common ground and governance
for Nokia's CD&A activities to ensure effective coordination and communication across a
global organization.
Pavandeep Kalra
Head of Product Management and Strategy
Nokia
Quality Management - Ensuring Validity of Data
High validity is an important component of Big Data. The accuracy of insights is dependent
on the quality of the data undergoing analysis.
The greatest impact of Big Data is on data quality. While data quality has traditionally been
measured in relation to its intended use, for Big Data projects, data quality may have to be
assessed beyond its intended use and address how data can be repurposed. To do so, data
quality attributes must be clearly defined, measured, recorded, and made available to end
users. Hear how leaders in this space are doing it right!
Kira Chuchom
Data Governance, Data Management Organization
Microsoft
CASE STUDY: Big Data Analytics in P&C Insurance - Fraud
Management Analytics, and Catastrophe Management Analytics
Ravi Prasad
Head, Analytics, Strategy and Innovation
Liberty Mutual

AGENDAAT
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DAYONE
3.30 Hackathon Presentations & Winner Announced:
Data geeks from the Hackathon track will present their team
results and share some of the tools they created and solutions
they discovered. Delegates will be asked to score each team
according to specified criteria. Be the first to hear about their
fresh innovative concepts, ideas and tools!
4.45 Science of Influence - How we measure influence online
Mischa Tuffield
PeerIndex
5.30 End of Conference Day Two
Main Conference day Two continued
2.00 Know Your Audience and the Story You Want to Tell: Making the
Most of Your Big Data Initiatives
Conventional wisdom says that in order to make informed decisions within any functional area,
you need to track and amass the data associated with business performance. But this data is
meaningless unless it can be converted into the insight and communication that it's intended
audience needs, wants and expects. In this talk, we will outline how our customers are using
artificial intelligence to transform data into insightful stories that are indistinguishable from those
written by people. These automatically generated evidence-based reports are both insightful and
action-oriented, enabling any business person to quickly understand what's happening and
make informed decisions. This presentation will showcase how our customers can generate a
wide variety of content (long form reports, executive summaries, customer communications, or
even tweets) from any data repository - on demand - that meet the goals and communication
needs of different stakeholders. And, do so without any involvement from IT and without
having to pour through and recalibrate a multitude of spreadsheets, graphs and charts.
Kris Hammond
Narrative Science
3.00 Determining Where to Place Your Technology Investment for Big
Data and Analytics
Big Data solutions have exploded in recent years. We have seen an explosion of start-ups,
database and business intelligence vendors offering solutions to this emerging industry.
Wikibon forecasts that the Big Data market will grow at an astounding CAGR of 58%
between now and 2017, hitting the $50 billion within five years. For those fearing that this
industry will die with the hype, these figures show that couldn't farther from the truth. So
how do you decide which services and products to procure in such a congested market?
Our panelists will highlight key factors you need to consider to make the most beneficial
choice for your organization.
The Real Risks of Hadoop - What the IT Department Needs to Consider
Around 80% of captured data is unstructured and must be formatted using a batch-
processing platforms such as Hadoop in order to be minable for business critical insights.
But how secure is this data? It is very difficult to build a security solution that can provide
data breach protection, regulatory compliance, yet still allow the powerful analysis and data
insight promised by Big Data environments. This presentation will guide you on the
actionable strategies for mitigating the risks.
• Exploring the use of cell level security as an cost saving solution
• How secure are your access controls?
• Combating data theft and data loss in a Big data Environment by implementing a Data
Usage Control function
• Identifying and closing security knowledge gaps in the IT and Information Systems department
• Applying granular protection at the field level
Rahul Todkar
Head Of Marketing Analytics
Intuit, Inc.
wHy not brInG yoUr teaM anD
SaVe UP to 30%
See page 19 details or email enquiry@iqpc.com today!

About The Sponsors
AGENDAAT
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18
d
Cloudera
Website: www.cloudera.com
Cloudera pioneered the business case for Hadoop with CDH, the world’s most comprehensive, tested
and widely deployed distribution of Hadoop. Its Platform for Big Data, Cloudera Enterprise,
empowers enterprises to Ask Bigger Questions™ and gain rich, actionable insights from all their data
to derive real business value and competitive advantage. As the top contributor to the Apache open
source community and leading educator of data professionals, with tens of thousands of nodes under
management and hundreds of customers across diverse markets, Cloudera is the category leader that
sets the standard for Hadoop in the enterprise.
Narrative Science
Website: www.narrativescience.com
Narrative Science transforms data into meaningful, relevant stories and insight. We enable our customers
to uncover the insight hidden in their data and create new content at an unprecedented scale. Our
patented technology platform, Quill™, automatically analyzes data and produces narratives that are
contextually relevant, actionable and tailored to any audience. Content can be produced in many formats,
including business reports, articles, summaries, visualizations, headlines and Tweets, allowing companies to
improve decision-making, create new products and optimize customer interactions. Our solutions span
multiple industries, including financial services, marketing and advertising services, research and
information services, hospitality, retail, education, and media and publishing.
TIBCO Software, Spotfire
Website: www.spotfire.tibco.com
Spotfire empowers those with business knowledge to interactively query, visualize, aggregate, filter, and
drill into datasets of virtually any size. This enables business users to ask and answer their own questions
without dependence on IT.
Is your organization involved in analytics, data management
and predictive modeling? Become an official media partner
today to expand your reach and offer your members a first
class conference experience.
Become a Media Partner and:
• Utilize this unique opportunity to promote your
organization by branding your organization/publication in
front of the most senior level audience at an event that
the industry believes in
• Position your organization/publication as a thought leader
amongst the most influential members of your community
• Achieve wider exposure to national and international
organizations and gain face-to-face time with business
executives from across the globe
• Acquire exclusive subject matter and carry out interviews
with market leaders for invaluable editorial and feature
content
Email Marketing Manager, Stephanie Gonzalez at
stephanie.gonzalez@iqpc.com for more details!
Thank You To our Media Partners
register Today! www.BigDataBusinessForum.com • 1-800-882-8684 • enquiry@iqpc.com
Are you a solution
provider in the space?
Find how you can Sponsor/Exhibit at
www.BigDataBusinessForum.com/Opportunities.aspx
Big data Business Forum
resource Center!
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Join Big data IQ’s
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Introduce yourself, share ideas, and
network prior to the event!
Join The Conversation
on Twitter
Follow @BigdataIQ • Look for #BdBF
Join our community to download sneak-peak
speaker podcasts, interviews, and much more!
Big Data IQ
www.bigdatabusinessiq.com
The Big Data IQ is where executives leading the
charge in becoming a proactive data driven
organization go for actionable strategies, training,
networking, and professional development. The
industry’s most respected community of expert’s
help you debunk the hype, demystify the complexity
and define Big Data in the context of your industry
and your role. It is the only cross-industry, cross-
functional, multi-media community platform for
business leaders responsible for collecting,
managing, and analyzing vast amounts of data to
make faster and better business decisions.
Data Mining, Statistics, Big Data,
and Data Visualization Group
Calling all Media!

AGENDAAT
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With access to so many experts, why not bring the
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on investment. It’s a great opportunity for team
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Register at any time for this year’s event and receive
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