Big Data

2016
Big Data
Analytics & Innovation
June 16 & 17, 2016 • San Francisco, CA
Big Data • Data Products • Marketing Science
Predictive Analytics • Data Engineering
Customer Insights & Analytics • Data Science
Data Innovation • Modeling & Analysis
www.GANEvents.com
FEATURED PRESENTERS
Previous speakers include:
Zachery Anderson, VP, Marketing Science & Analytics @ Electronic Arts
George Roumeliotis, Distinguished Data Scientist @ Walmart
Michael Li, Senior Director, Business Analytics @ LinkedIn
Chris Chapo, Former VP, Data Science & Analytics @ Intuit
James Taylor, CEO @ Decision Management Solutions
Mario Vinasco, Data Scientist, Marketing Analytics @ facebook
Jules Malin, Product Analytics Manager @ GoPro
Tom Yu, Director, Programmatic AdTech @ Yahoo!
Julie Kim, Programmatic Media Manager @ Electronic Arts
Mark Crafts, VP, Cloud Solutions for Media & Ad Sales @ CloudSense
Ken Kring, Director of Product Development @ Sears
Cathy Tanimura, Director of Analytics & Big Data @ Okta
Steve Gonzales, Principal Manager @ Think Big Analytics
Ramkumar Ravichandran, Director, Analytics @ Visa
Arijit Sengupta, CEO @ BeyondCore
www.GAN-Events.com
Thursday, June 16, 2016
8:30am
Big Data Innovation
Improve decision making capabilities by effectively analyzing big data
Data Science and Product Innovation at Work
9:45am
Develop an enterprise data platform that enables informed decision making and innovative product
development
Next Generation Analytics & The Evolution of Data Science
11:00am
Maximize data science and big data to support marketing, customer experience, user experience and new
product development
12:00pm
Lunch
Big Data Analytics & Innovation
Data Science & Product Analytics
Marketing Analytics & Innovation
Big Data Architecture &
Analytics
A comprehensive approach to
harness big data architecture and
analytics for business growth
Product Analytics: Using Data
Science to Innovate and Drive
Growth
Data-driven product development and
Innovation
Marketing Science and
Analytics
Marketing analytics, mix
optimization and lessons learned
in high tech
2:15pm
Big Data Analytics for Growth
Define and leverage analytics
capabilities to drive business
growth
Data Science & Design Thinking
Build an experiment framework to
drive product alignment and
optimization
Leveraging Customer Insights
What drives your customers and
creating value through customer
analytics
3:30pm
Real-Time Big Data and
Analytics
Utilize real-time data
measurement, data integration,
analytics and data visualization to
drive decision making
Capability Modeling & Big Data
Product Development
Monetizing big data through use
case and experimentation
Applying Intelligence for
Measurement & Targeting
Develop a data-driven approach to
segmentation to optimize digital
campaigns
1:00pm
Friday, June 17, 2016
8:30am
9:45am
Beyond Big Data
Framework to enable analytics teams to drive business impact through Big Data
Pursuing Excellence through Analytics
Pursuing Excellence – Analytics + Process + Technology = Advantage
Big Data Analytics & Innovation
11:00am
Advanced Big Data Platform
Hadoop and Big Data: The Do’s
and Don’ts of BI on Hadoop
12:00pm
Lunch
1:00pm
Big Data and Analytics CoE
Develop an enterprise big data
center of excellence that enables
analytics-based decision making
Data Science & Product Analytics
Advancements in Machine
Learning
A comprehensive framework
including cluster designs, data
layout and preparation, ML
methods and computation
Big Data Driven Personalization
Use Big Data to transform the
customer experience
Marketing Analytics & Innovation
Voice of Customer Data and
Intuition
What drives your customers and
creating value through customer
analytics
Multi-Channel Insights &
Analytics
Develop insights through a holistic
analytics approach to a multichannel/multi-screen audience
Analytics for All
2:15pm
Bringing simplicity, ubiquity, and actionability to analytics, without sacrificing statistical rigor, to empower all
levels of the workforce
Three Unique Tracks
Predictive Analytics and Big Data are more than
just buzzwords – they are defining modern business
in ways unimaginable even a decade ago.
Organizations can now tap into vast oceans of
internal and external data to gain insights, develop
new products and develop competitive
advantage. Learning new ways to harness and
leverage data, perform effective analytics and
develop new technology by-way-of data science is
critical to growth for the modern organization.
Predictive Analytics & Big Data 2016 is a
comprehensive, vendor-agnostic, two-day event
focused on advanced analytics and data science.
Three distinct tracks focus on Big Data, Data
Science, Data Product Development, and DataDriven Innovation. This is a vendor-neutral event
featuring learning sessions and case studies from
some of the leading thought leaders working in
advanced analytics and data science.
Attendees will instantly realize the difference
between this forum and other conferences.
Learning sessions are vendor agnostic and there
are NO sales pitches. Presentations will be
conducted by the most talented corporate experts
and thought leaders, both regionally and
nationally. For those who are interested in learning
more about available tools, a select few vendors
will be invited to provide demos and information by
request.
Predictive Analytics & Big Data
focuses on the fundamentals of
establishing a data platform to
support Big Data analytics, then
leverage big data to develop insights
and support better business
decisions. This track focuses on
accessing analytics in real time, data
architecture, data mining and the
analytics organization.
The Data Products track focuses on
the development of products using
both internal, organization data, as
well as external data sources. Data
Products are developed with the
purpose of adding value to internal
customers, enhance existing
products as well venture into new
lines of business. Companies are
more and more finding the value in
data product development and this
track looks to reveal tools and best
practices in the area.
Customer Analytics & Insights focuses
on leveraging the wealth of
customer data to create valuable
analytics and real-time insights to
enhance customer experience and
increase conversion. Good customer
analytics will enhance targeting,
provide behavioral insights and
improve forecasting.
510-984-3620
www.GAN-Events.com/b134
KEYNOTES
8:30am
Big Data Innovation
Improve decision making capabilities by effectively
analyzing big data




Transition from data reporting to advanced analytics
Understanding patterns in large data sets to spot trends
Optimize analytics results by including the breadth of
organizational data inputs in the analytics process
Develop a Big Data organizational framework which
includes governance and strategic considerations
9:45am
Data Science and Product Innovation at
Work
Develop an enterprise data platform that enables
informed decision making and innovative product
development





Optimize data assets to gain competitive advantage
Effective analysis that allows senior management to make
more informed decisions
Decision support aligned to business needs and objectives
Utilize analytics to better determine ROI
Establish predictive capabilities through analytics for better
forecasting
11:00am
Next Generation Analytics & The
Evolution of Data Science
Maximize data science and big data to support
marketing, customer experience, user experience and
new product development




Utilize data scientists in the most effective and efficient
manner for driving growth
Develop an effective management system that maximizes
the value of data scientists
Create a framework that aligns data scientists with
organizational needs and opportunities
Organize data scientist to ensure efficiency with current
and future product development
510-984-3620
www.GAN-Events.com/b134
x
Thursday, June 16th
Big Data Analytics & Innovation
Big Data Architecture &
Analytics
Product Analytics: Using Data
Science to Innovate and Drive
Growth
A comprehensive approach to
harness big data architecture and
analytics for business growth
1:00pm
 Develop technical strategies that allow
your organization to harness Big Data
 Understand the requirements of
effective data preparation for Big Data
analytics
 Develop data organization
methodologies that allow quick
adaptation to changing business
demands
 Align business objectives with Big Data
capabilities to ensure successful
analytics enablement and deployment
Big Data Analytics for Growth
Define and leverage analytics
capabilities to drive business growth


2:15pm


Develop a better line-of-site to
customer needs
Gain better insight through the
use of predictive analytics and
advanced modeling techniques
Leverage big data and analytical
tools to predict customer trends,
acquisition and retention
Customer retention and product
analysis metrics to optimize sales
and marketing performance
Real-Time Big Data and
Analytics
Utilize real-time data measurement,
data integration, analytics and data
visualization to drive decision making

3:30pm



Data Science & Product Analytics
Gain insight into customer
behaviors in real time through Big
Data analytics
Optimize marketing spend by
allocating resources real-time for
more effective engagement
Use “Just-In-Time” decision
making to enhance customer
interaction in real-time
Generate more moments of
interaction via media properties,
brands and each other
Data-driven product development and
Innovation




Business intelligence goals for product
development
Potential impact from a sophisticated
analytics practice
Hurdles, initial scope, and pattern
recognition
Business demands, product needs,
and identifying variables
Continual evolution: The importance of
a product vision and iterations
Data Science and Design
Thinking
Build an experiment framework to
drive product alignment and
optimization
Marketing Analytics & Innovation
Marketing Science and
Analytics
Marketing analytics, mix optimization
and lessons learned in high tech




Understand how to overcome the big
data challenges of siloed customer
behavioral data
Learn how you can leverage the
wealth of organizational and third
party online and offline data to gain
better customer insights
Comprehend how customer analytics
can enhance your customers’
experience across touchpoints
Explore use cases across customer
acquisition, conversion and retention
Leveraging Customer Insights
What drives your customers and
creating value through customer
analytics


Apply design thinking to challenges
and opportunities that data creates
 Utilize rapid prototyping and user
empathy to apply design thinking to
data science
 Effectively visualize the results from
valuable data acquisition and
collection
 Channel key ideas and frameworks of
design thinking translate the value of
data
Capability Modeling & Big Data
Product Development
Monetizing big data through use case
and experimentation





Use big data to unlock growth and new
product opportunities
Use advanced tactics to identify
strengths and weaknesses of
competitors
Identify access and challenge points
for new market entrants
Use analytics to uncover unmet market
needs
Create dynamic competitor profiles to
forecast changes in the competitive
landscape
510-984-3620
www.GAN-Events.com/b134




Using data to develop effective
customer retention programs
Acquire new customers based on
existing customer analytics
Applying customer data to predict
future behavior and sales
Measuring the lifetime value of
customers for better forecasting
Create good impact assessments
based on customer reactions
Applying Intelligence for
Measurement & Targeting
Develop a data-driven approach to
segmentation to optimize digital
campaigns




Analyze campaign results
through insights and analytics
associated with programmatic
buying
Develop a KPI framework that
aligns with marketing goals
Scientific attribution modeling
methodologies to assign metrics
and scores to individual
campaigns
Use advanced attribution
techniques to prioritize media
usage through programmatic
buying based on KPIs
KEYNOTES
8:30am
Beyond Big Data
Framework to enable analytics teams to drive business
impact through Big Data
 Transition from data reporting to advanced analytics
 Understanding patterns in large data sets to spot trends
 Optimize analytics results by including the breadth of
organizational data inputs in the analytics process
 Develop a Big Data organizational framework which includes
governance and strategic considerations
9:45am
Pursuing Excellence through Analytics
Pursuing Excellence – Analytics + Process +
Technology = Advantage





Optimize data assets to gain competitive advantage
Effective analysis that allows senior management to make
more informed decisions
Decision support aligned to business needs and objectives
Utilize analytics to better determine ROI
Establish predictive capabilities through analytics for better
forecasting
510-984-3620
www.GAN-Events.com/b134
Friday, June 17th
Big Data Analytics & Innovation
Advanced Big Data Platform
Hadoop and Big Data: The Do’s and
Don’ts of BI on Hadoop

Create a framework that allows you
to get the most out of your data
Optimize cloud and open source
software to drive your data platform
Manage an ecosystem of tools that
enable automation and data
efficiency
Implement evolving techniques for
effective data driven strategic
planning and execution

11:00am


Big Data and Analytics CoE
Develop an enterprise big data center
of excellence that enables analyticsbased decision making

1:00pm



Develop a framework for analytics
excellence
Gain better insight through the use of
predictive analytics and advanced
modeling techniques
Leverage big data and analytical
tools to predict customer trends,
acquisition and retention
Customer retention and product
analysis metrics to optimize sales
and marketing performance
Data Science & Product Analytics
Advancements in Machine
Learning
A comprehensive framework including
cluster designs, data layout and
preparation, ML methods and
computation




Emerging trends in machine
learning for navigating the deluge
of data
Learn to express and execute
machine learning algorithms to
gain insight
Use machine learning to detect
fraud, analyze social networks
and create personalized
recommendations
Best practices in data cleaning,
predictive model building and
insight delivery
Big Data-Driven Personalization
Use data science to translate
information and insight to action
 Best practices for data scientist
evaluate and present information
 Incorporate processes to ensure
effective use of data assets
 Integrate analyst activities to drive
improvements and best practices
 Gain insight across the organization by
aligning resources and improving
information flow
 Drive business excellence through
collaboration and analysis
Marketing Analytics & Innovation
Voice of Customer Data and
Intuition
What drives your customers and
creating value through customer
analytics




Effective methodology used to
capture Voice of Customer
Using customer analytics to
promote customer-driven
innovation
Product lifecycle analysis and
linking VoC to product lifecycle
stages
Develop a growth strategy based
on VoC that is rooted in lifecycle
analysis
Multi-Channel Insights &
Analytics
Develop insights through a holistic
analytics approach to a multichannel/multi-screen audience




Harness data from multiple
touchpoints such as web, mobile,
POS and more
Integrate data from all sources
into one unified Big Data CRM
Utilize analytics techniques to
gain user and customer insights
Leverage analytics to increase
conversion rates
Closing Address
Advanced Analytics For All
Bringing simplicity, ubiquity, and actionability to analytics, without sacrificing statistical rigor, to
empower all levels of the workforce
2:15pm





Utilize analytics that support the most critical dimensions of your company’s strategy
Framework for defining strategic goals then aligning analytics effectively and appropriately to help
meet those goals
Identify the obstacles to developing an analytics roadmap throughout organizational functions
Understand the value of leadership buy-in and analytics champions
Transform marketing and growth strategy from “intuition-drive to analytics-driven”
510-984-3620
www.GAN-Events.com/b134
Networking
Not only do attendees come to learn innovative skills and
best practices in product management, innovation and
marketing, they also come to meet with peers from different
industries across the nation. Keeping this in mind, attendees
are given a chance to network with colleagues from an array
of backgrounds and disciplines.
Network with colleagues and thought leaders from a breadth
of industries and functional disciplines
This event includes a number of valuable networking
opportunities over the course of two days, including multiple
networking breaks and a cocktail reception. The Product
Management & Innovation Event has hosted thousands of
product managers since its inception in 2010.
Organizations that attended 2015 events include:
Accuray  Actelion Pharmaceuticals • Adobe Systems  Affymetrix  AGCO  Alere
Allstate  American Superconductor  Amway • Amica Mutual  AppliedMicro Circuits
Appro  Array BioPharma  Audi  Atmel • AutoTrader.com  Bank of the West  BASF
Beekley  Blessing Health  Bose Corporation • Briggs International  Cadence Carlson
Cedar Sinai  Celanese Corporation • Centura Health  Cepheid  Charles Schwab
Chik-Fil-A  Chipotle  Chiquita • Cisco  Citrix  CNN  Comcast  ConAgra
Copa Airlines  Cox  Dean Foods  Diebold  Dolby  Dominoes  Electonic Arts  eBay
EJ Gallo  Emerson  England Logistics  Eon US  Ericsson  ESPN  Exelon Corporation
Expedia  F5  Facebook  FedEx  Ferring Pharma  Fifth Third Bank  FL Smidth
Flour  Foot Locker  FW Murphy  Gap Inc.  Genentech  Gilead  Grant Thornton LLP
JCI  JDS Uniphase  JP Morgan  Juniper  Genworth  Hamilton Beach Brands, Inc.
Hardies  Harvard Clinical Research Institute  IHG  IMClone  Infinity Pharmaceuticals
Ingram Micro  Intuit  Jabil Circuit  JCI  JDS Uniphase  Johnson Matthey
JP Morgan  Juniper  Keurig  Kaiser Permanente  KLA-Tencore
Lam Research  Lancer Corp  Land O’ Lakes  Levi's  Lexis Nexis  Liberty Mutual Group
Life Technologies  McDean  Maxwell Technologies  Maxygen, Inc.
Macys.com  Mercedes-Benz USA  MGM Resorts  Micron Technology
Microsoft Corporation  Mutual of Omaha  Nestle  NetApp  Nike  Nissan  Omnicell, Inc.
Papa Murphy’s Intl.  PayPal  Popeyes® Louisiana Kitchen  Procter & Gamble
RCI  Rent-A-Center  Research In Motion  Roche  SanDisk  Sara Lee  Scottrade
Sephora  Stryker  Symantec  Tibco  URS  USAA  Visa Inc  Vonage
WellPoint, Inc.  Wells Fargo  Turner Sports  Sony Playstation  Sigma-Aldrich  Qwest
HighMark Inc  InComm  Netsuite  Parker Hannifin  SunTrust Bank  UTi
Blue Cross  Gen-Probe  Lockheed Martin  Ventura Foods  Syncapse  Assurant Solutions
Abbott Laboratories  Certiport  Camden  JDSU  Robert Half International  Pamlab
Harley Davidson  Safeway  Onvia  Bally Tech  Planview  Manheim
And many more
Area – San Francisco International Airport
Located near San Francisco International Airport, our venue
provides excellent access to Bay Area transportation as well as all
the city has to offer. Gateway Management has on-the-ground
knowledge of the area’s best restaurants, hotels and shows to
maximize your experience outside the Summit.
San Francisco
Area, Venue
& Travel
Information
Hotel and Accommodation Facilities
Our venue’s excellent location offers easy access to the entire San
Francisco Bay Area. We have scouted locations throughout the
region and find that the Westin San Francisco Airport offers
excellent accommodations, an unrivaled meeting environment and
tremendous value.
Travel
This event is best accessed by-way-of San Francisco International
Airport. A complimentary hotel shuttle leaves every 20 minutes
from SFO, directly to the event location. Oakland International
Airport offers another convenient traveling option for our non-local
guests and can be accessed by BART trains or taxi cabs.
Venue – Weston SFO
Westin SFO
1 Old Bayshore Highway
Millbrae, CA
Room Rate
TBA
Reservations:
1-650-692-3500
Mention the Gateway Management room block to the customer service agent
to receive this exclusive reduced rate.
Online Hotel Reservations:
510-984-3620
www.GAN-Events.com/b134
REGISTRATION
REGISTRATION FEES
Attendee Information
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$1799
Two Attendee Rate
$2999
Includes Thursday & Friday event plus networking
reception
Name
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Standard Registration
Includes Thursday & Friday event plus networking
reception
Email
Additional Attendee
$1599
Includes Thursday & Friday event plus networking
reception
Name
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Early Registration
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Three Attendee Rate
$3999
Includes Thursday & Friday event plus networking
reception
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
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Alex Smith
asmith@gmi-solutions.com
510-984-3026
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For additional information and group
discounts, please contact:
CV2 (card verification number)
Billing Address
Fax:
510-380-7377
City/State/Zip
Pay By Check:
Checks should be made payable to Gateway Management. The mailing address for checks and tax
forms is:
Gateway Management
2625 Alcatraz Avenue, #341, Berkeley, CA 94705
Cancellation/Rescheduling Policy:
All cancellations made four weeks or longer from the summit’s start date will be provided a full refund or credit
toward current or future Gateway Management programs. Any cancellations made within four weeks of the
programs start date will be provided with credit toward current or future Altamont Group programs.
www.GAN-Events.com