1. BIG DATA &
MOBILE COMMERCE
What does it mean for
Privacy &
Data Protection?

2. REVOLUTION

3. Applying
NEW technology

4. BIG DATA &
MOBILE COMMERCE

5. THE TIME IS
NOW

6. Wait …
WHAT!?
What kind
of data!?

7. BIG
DATA

8. Nobody
really
understood

9. Big data is like teenage sex: everyone
talks about it, nobody really knows how to do it,
everyone thinks everyone else is doing it, so
everyone claims they are doing it.
“
” Dan Ariely
Professor at Duke University

10. How
Is Big
Data?

11. Byte = 1 grain of rice
Kilobyte = 1 cup of rice
Megabyte = 8 bags of rice
Gigabyte = 3 trailers of rice
Terabyte = 2 container ships
Petabyte = blankets Manhattan
Exabyte = blankets west coast states
Zettabyte = fills the Pacific Ocean
Yottabyte = AN EARTH SIZED RICE BALL!

12. There were 5 Exabytes
of information created
between the dawn of
civilization through 2003,
but that much information
is now created every 2.
“
”Eric Schmidt
Executive Chairman at Alphabet Inc.
Former CEO of Google

13. 98,000+
tweets
695,000
status updates
11 million
instant messages
698,455
Google searches
168+ million
emails sent
1,820 TB
of data created
Every 60
seconds

14. 90%
of all the data in the
world was created
in the last 2 years

15. 1 day
worth of data
burned on DVDs

16. 4.4 million
IT jobs created
globally

17. By 2019, Big Data
Technology and Services
Market will grow to
$48.6 billion

18. Big Data
Characteristics

19. VOLUME
Vast Amounts of Data
Zettabytes and Brontobytes

20. VARIETY
Different types of
data we can use,
both structured and
unstructured.
Sensors Photos
Voice
Recordings
Social Media
Conversations
Messages
Video

21. VELOCITY
Speed at which new
data is generated
and at which data
moves around.

22. VALUE
Big amounts of data
are highly valuable

23. Capital One - harnessing behavioral data to
shape customer offerings. For instance, their
deal optimization engine analyzes customer
demographics and spending patterns to
determine how, where and when to put offers
in front of people – leading to more revenue
for Capital One and a more positive experience
with the brand for customers.

24. T-Mobile managed to reduce "churn" by
50% just by staying on top of things like
usage patterns, geographical usage trends,
customer purchases by location and most
importantly, Customer Lifetime Value. T-
Mobile has banked on the fact that
customers with strong social networks can
influence others' telecomm decisions,
making a point of identifying its most
influential customers and giving them perks.

25. Free People uses millions of customer
records (reviewed by an in house
analytics team) to shape the next
season's offerings. Information like
what sold, what didn't, what was
returned and more fuels the brand's
product recommendations, the look of
its website and what kinds of
promotions customers see to improve
Free People's bottom line.

26. Starbucks' ability to
maintain a surprising
number of locations in
close proximity to one
another is a function of big
data. The fact that two
Starbucks can exist a
block away from one
another isn't luck; they
were placed in their
adjacent locations thanks
to location-based data,
street traffic analysis,
demographic info and data
culled from other
locations.

27. Big Data
Opportunities

28. #1 Optimize Business Processes
The big objective - creating
predictable models. Retailers are
able to optimize their stock and
delivery routes optimize using
data from geographic positioning
and RFIDs.

29. #2 Improving Healthcare
We can find new cures and
better understand and predict
disease patterns or we can use
all the data from smart watches
and wearable devices to better
understand links between
lifestyles and diseases.

30. #3 Improving Cities and Countries
Big data can improve many
aspects of our cities, such as
optimizing traffic flows based on
real time traffic information as
well as social media and weather
data.

31. The sky is
the limit

32. MOBILE
COMMERCE

33. 1.2 billion
people accessing the web
from their mobile devices

34. 15%
of all Internet
traffic is mobile

35. 58%
of smartphone owners
have used it for shopping

36. 63%
of people expect to
do more shopping on
their mobile devices

37. Includes all type of transactions
Mobile
Retailing
Mobile
Ticketing/Booking
Mobile
Billing
Other mobile
services

38. $79 BN
$284 BN
20.60%
45%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
50.00%
0
50
100
150
200
250
300
2016 2020
Mobile commerce % of e-commerce
Mobile Commerce Growth

39. Top Growing Emerging Markets
India Taiwan Malaysia
2012
2014

40. Go mobile
or risk
falling behind

41. Uber - the reason Uber is so “frictionless” is
that when you are done with your ride, you just
get out of the car. No cash, no credit cards, no
signing receipts (or hassles over requesting
receipts).

42. Square - with this
small, square plastic
device that plugs into
any smartphone or
tablet, any business
can now set up an
account to process
credit and debit cards
and then sweep the
proceeds directly into
their bank account.

43. Amazon – its mobile app leverages
the best of all that Amazon has
done on desktops and laptops for
the last 15 years

44. Future
Opportunities

45. #1 Optimize Mobile Check-out
Mobile commerce
conversion rates are still
low due to shoppers
giving up on the process
when it becomes too
hard to finalize an order.

46. #2 Create a holistic mobile approach
For retailers, the money is in the
mobile Web, not the app

47. BIG DATA IN
MOBILE
COMMERCE

48. Everything you do
on your mobile
leaves a trail

49. Goals of using Big Data
Understanding
consumer behavior
Increasing
customer loyalty
Increase
ARPU
Decrease
churn

50. The ultimate destination:
Increase customer life time value

51. Providing value to clients
Real Time
Offers
Customer
Segmentation

52. Areas of development
Personalized
Retail Content
Easy Payment
Process

53. You are
privileged

54. BIG DATA
CONCERNS IN
MOBILE COMMERCE

55. 38%of people
surveyed said that
privacy and protection
of data are the main
concerns of Big Data in
Mobile Commerce

56. More and more
data is collected,
often without
consent.

57. The challenge is how to apply analytics for deeper
consumer insights, while maintaining the highest levels
of security and individual privacy.
“
”
Diarmuid Mallon
Direct of Global
Marketing Solutions at SAP

58. How secure is
your data?

59. Threats are real!
Target Data Breach – 40M credit card info & 70M personal info
Korea Credit Bureau – 20M credit card & personal info

60. Regulations are happening!

61. Example of EU Framework
Data controllers
transparency
Clear info on
Data processing
Data protection in 3rd
party transfers
24h for data disclosure
in case of breach

62. With great power comes
great responsibility.“
”Ben Parker

63. Identity
authentication
Security
Strengths

64. THANK
YOU!
Kenneth Ho
Big Data Enthusiast