Dave Feinleib discusses Big Data and how that is helping both e-commerce retailers and brands to sell more.

1. Big Data
& E-Commerce
THE FUTURE IS NOW
Copyright © 2014 The Big Data Group, LLC. and Content Analytics, Inc. All Rights Reserved.

2. INTRODUCTION
Managing Partner, The Big Data Group
Author of Big Data Demystified
Producer of The Big Data Landscape
Serial Entrepreneur
Acquisitions by Keynote, HP, and EMC
• Bootstrapped and venture-backed Author of Why
Startups Fail: And How Yours Can Succeed
General Partner
Mohr Davidow Ventures
Group Program Manager
Microsoft
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3. I Started Out As a Big Data Nerd
Microsoft, Redmond WA 1991
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4. Times Have Really Changed…
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5. But Along The Way I Learned A Few Things
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6. The Big Data
Landscape
Copyright © 2012-2014 The Big Data Group, LLC. All Rights Reserved.

7. THE BIG DATA LANDSCAPE, DEC. 2014
Apps
Vertical Consumer Business
Infrastructure
Technologies
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Intelligence
Analytics & Visualization
Operational Intelligence
Ad/Media
Data As A Service
Analytics Operational As A Service Structured DB

8. BIG DATA CHALLENGES & OPPORTUNITIES
GOOD INTENTIONS:
64%
of companies planned
to fund a Big Data Project
in 2013 with more
than $1M
[Gartner 2012]
REALITY:
85%
of the Fortune 500 still
won’t be able to use
Big Data for competitive
advantage in 2015
[Gartner 2012]
PEOPLE:
35%
Shortfall in data-savvy
workers needed to make
sense out of
Big Data by 2018
[McKinsey 2011]
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9. BIG DATA IS GROWING AT 40% ANNUALLY
Data is growing at a 40 percent compound annual rate, reaching
nearly 45ZB by 2020
Data in Zettabytes (ZB)
50
45
40
35
30
25
20
15
10
5
0
2008 2008 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Source: Oracle, 2012
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10. E-COMMERCE & BIG DATA
Business-to-consumer E-Commerce sales will
reach $1.5 trillion this year
— eMarketer
“Finally, after a decade of transformational
impact on other sectors of the economy,the
new frontier of e-commerce has come to food.
Ready or not, our industry must do a much
better job of leveraging this channel.”
— Denise Morrison, Campbell Soup CEO
“Companies that fail to adopt ecommerce
strategies risk stagnation, loss of share…”
— Ad Age, 2014
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11. Big Data Industry
Transformation

12. TRANSFORMATION OF RETAIL
NOW…
Data-driven pricing
and recommendations
THEN…
Sales
Image: webdesignerdepot.com
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13. TRANSFORMATION OF FINANCIAL SERVICES
NOW…
Automated, high
frequency trading
THEN…
Manual Trading
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14. TRANSFORMATION OF CUSTOMER SERVICE
NOW…
Customer Insight
Chart: Zendesk
THEN…
Unhappy Customers
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15. TRANSFORMATION OF ONLINE MARKETING
THEN…
Leads
NOW…
Marketing & Sales
Recommendations
Company First Last Oppty Created
Acme Fred Langan $250K 6/08/12
BigCo Tom Jones $100K 6/17/12
DealCo Jan Sedor $50K 7/01/12
Stor
Liza Grear $750K 7/14/12
Works
RF Group Carl Tomer $47K 7/18/12
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Campaign
Recommendation

16. TRANSFORMATION OF CITIES
NOW…
Smart meters, smart
transport, data-driven
city design
THEN…
Traditional Infrastructure
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17. TRANSFORMATION OF HEALTH & FITNESS
THEN…
Manual Tracking
Walk 45 minutes
Smoothie
Lift weights 20 minutes
NOW…
Goals & Measurement
Images: Azumio, DrChrono, Fitbit, Garmin, Nike
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18. TRANSFORMATION OF EDUCATION
NOW…
Adaptive Learning
THEN…
Linear Learning
Images: Khan Academy,
Knewton, Michigan
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19. Big Data
& E-Commerce

20. E-COMMERCE IS BIG DATA
abercrombie.com
ae.com
aeropostale.com
Ah.nl
Amazon.com
amazon.ca
Amazon.cn
amazon.co.jp
Amazon.co.uk
Amazon.fr
amazonfresh.com
argos.co.uk
Auchandirect.fr
Auchandrive.fr
BabiesRUs.com
bargain-outlets.com
barnesandnoble.com
bedbathandbeyond.com
bestbuy.com
bigbasket.com
biglots.com
Bitikla.com
bodybuilding.com
Bol.com
bonton.com
boots.com
canadiantire.ca
carrefour.com.tr
homedepot.com
Intermarche.com
jabong.com
jcpenney.com
Jd.com
johnlewis.com
kenkokenko.com
Kmart.com
kohls.com
Kruidvat.nl
lazadolazada.com.ph
Leclercdrive.fr
Lefeng.cn
lidl.com
llbean.com
locaholohaco.jp
londondrugs.com
lowes.com macys.com
meijer.com
Mescoursescasino.fr
michaels.com
morrisons.com
myntra.com
ocado.com
oldnavy.com
Tmall.com
Tops.com
toysrus.com
Trolley.ae
tudespensa.com
ulabox.com
verabradley.com
victoriassecret.com
victoriassecret.com/pink
vitadepot.com
vitaminshoppe.com
vitaminworld.com
waitrose.com
walgreens.com
Walmart.com
walmart.ca
Walmart.com.br
Wegmans.com
Wehkamp.nl
well.ca
Woolworthsonline.com.au
yankeecandle.com
Yihaodian.com
zalora.com.ph
oldnavy.caom
Onofre.com.br
Ooshop.fr
overstock.com
ozon.ru
Paodeacucar.com.br
peapod.com
petco.com
petsmart.com
pgestore.com
rakuten24.rakuten.co.jp
Redbaby.suning.com
Riteaid.com
safeway.com
Sainsburys.co.uk
sainsburys.com
sallybeauty.com
samsclub.com
Sanalmarket.com
sears.com
shop.hobbylobby.com
shoprite.com
soap.com
Souq.com
statelinetack.com
Suning.com
target.com
carrefour.es
Carrefourdrive.fr
Carrefouruae.com
chronodrive.fr
Colesonline.com.au
Coradrive.fr
Costco.com
Coursesu.fr
crs-online.ca
cvs.com
Dangdang.com
diapers.com
dickssportinggoods.com
dollargeneral.com
dollartree.com
drugstore.com
Extra.com.br
flipkart.com
freshdirect.com
gandermountain.com
gap.com
Geantonline.ae
gnc.com
google.com/shopping
hepsiburada.com
hollister.com
*Major retailers highlighted.
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21. IDENTIFY, OPTIMIZE & IMPROVE
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22. CONTENT ANALYTICS OVERVIEW
• Trusted by many of the world’s largest brands and
retailers
• $5.5M in venture capital funding from Almaz Capital
and Dunnhumby Ventures
• Global presence
• Web-based E-Commerce analytics offering
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23. CASE STUDY: MAJOR RETAILER
Business case:
• Find and monitor products that have under-optimized
product content across a 4M+ SKU site
• Recommend products that can be improved and
specific actions to take
• Perform baseline evaluation and report on progress
over time
Results:
• Increased traffic/sales for optimized product pages
• Better customer purchase experience
• Increased collaboration with suppliers
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24. CASE STUDY: GLOBAL BRAND
Business case:
• Find and monitor products that have under-optimized
product content across multiple E-Commerce sites
• Recommend products that can be improved and specific
actions to take
• Receive notification of competitor price changes and out
of stock products so brand can adjust pricing and ensure
products are in stock
Results:
• Identified specific opportunities for improvement
• Able to adjust pricing & product availability based on alerts
• Increased collaboration with retailers
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25. RANKINGS SCORECARD
See how your products
rank across e-commerce
sites.
Receive Email Alerts
Daily, Weekly, or Monthly
direct to your inbox to track
rankings over time.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
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26. PRICE CHECK
See how you stack up
against the competition.
Compare pricing across
retailers with ease!
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
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27. RATING & REVIEW ALERTS
Content Analytics lets you
know when your products
receive negative alerts so
that you can reach out to
consumers in a timely way.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
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28. OUT OF STOCK ALERTS
Content Analytics prevents
loss of revenue by sending
you daily alerts.
Knowing when your products
are unavailable for purchase is
crucial to rankings and sales.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
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29. SUCCESS THROUGH OPTIMIZATION
1. Product Title
Does it contain relevant
keywords?
2. Product Description
Is it platform customized?
3. Images
How many should each
product have?
4. Videos
What can video do for ranking?
5. Reviews
Are customers reviewing after
purchase?
6. Pricing
Are they competitive?
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30. CONTENT HEALTH
Identify which products need
attention.
Content Analytics provides
dynamic relevant dashboard
reporting on all aspects, allowing
retailers, brands, and agencies to
make impactful optimizations.
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31. PILOT PROGRAM OVERVIEW
Enterprise level analytics tools for optimizing product content,
keyword relevance & rankings in global e-commerce.
What’s Included…
Up to 10 products / Up to 10 competitor products / Up to 10 retail sites
TRUSTED BY MANY OF THE WORLD’S LARGEST BRANDS & RETAILERS
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32. Thanks for your time.
LETS TALK. DAVE@CONTENTANALYTICSINC.COM | (415) 754-9338