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Not All BIG Data Looks the Same
Eli Schwartz, SurveyMonkey
Big Data & Analytics Hong Kong
April 2016
Please go to this URL:
bit.ly/bigdatahk
We live in an age of data companies
All the cool kids talk about data
…spending lots of money
5
And not even drawing the right conclusions
6
7
7
Implicit Data
Explicit Data
8
8
Teeth Whitenig $88
How “Big Data” Can Predict Your Divorce, ABC News/Nightline, December 2012
Implicit Data
9
Explicit data gathering is difficult
Time
Consuming
Expensive
Not Scalable
The easy route is public
11
Traditional feedback data should also be big data
Use Online Tools to Collect Data
Paper Surveys
Time Consuming
Not Scalable
Expensive
Online Forms
Limited Question Types
Limited Analysis
Advanced Question Types
Advanced Analytics
Customer Service
Survey
Software
Data Utopia
14
What are you looking
for in a new car?Desired product features
Decision process
Do they have credit cards
Emphasize quality
OfferCOD
82%
Higher
quality
2%
Lower
cost
16%
No creditc
ard
Implicit
Data
Survey
Answers
Explicit
Data
Example: Everyone has seen the basic NPS
% Promoters - % Detractors Net Promoter Score
But shouldn’t NPS vary by attributes?
16
GenderAge LanguagesEmployment
Status
ExerciseInternet Usage Marital Status
GamingHousehold
Income
LocationEthnicity EducationIndustry Devices
These personas have different buying and experience needs
17
• If A & B
• If A & B & C
• Examples:
• Women over 70 that run marathons
Millennials with Snapchat but not Facebook
Think about double pivot and triple pivot
18
Every customer is an individual
20
21
Case Studies of Small Data at Scale
2
25
• Simple-to-administer surveys eliminate the
need to create webpages and forms for each
new survey – saving ANA time and money
• Customer feedback about ANA’s Facebook
page and “ANA Latte” travel website guides
content development and increases
engagement
• Surveys on ANA’s Business Class and
Boeing 787 services help gauge customer
response to new products
26
• General managers are able to obtain
immediate access to feedback data and utilize
them efficiently
• Immediate responses are able to improve
guest loyalty and memorable stay experience
• Managers can use feedback data to improve
their overall satisfaction scores
27
28
• Discovered viral content which drew in media
coverage of their event
• Measured the concerns of local citizens when it
came to clean toilets in Singapore and the rating
system created by RAS
• Established a benchmark on awareness of their
cause to now grow against
29
Some results are here
bit.ly/hkresults
1. Don’t leave customer analysis to just large scale
anonymized data sets
1. Customer satisfaction might be the last item people
use to make a purchase decision, but a bad
customer experience will be the first thing they talk
about
2. Create a culture of asking. Use every customer
touch point to gain real feedback.
Bonus: People will answer the most sensitive
questions if you ask right
Key points to remember
Email me for slides:
elis@surveymonkey.com
Or see them on my blog: elischwartz.co

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Surveys are also Big Data

  • 1. Not All BIG Data Looks the Same Eli Schwartz, SurveyMonkey Big Data & Analytics Hong Kong April 2016
  • 2. Please go to this URL: bit.ly/bigdatahk
  • 3. We live in an age of data companies
  • 4. All the cool kids talk about data
  • 6. And not even drawing the right conclusions 6
  • 8. 8 8 Teeth Whitenig $88 How “Big Data” Can Predict Your Divorce, ABC News/Nightline, December 2012 Implicit Data
  • 9. 9
  • 10. Explicit data gathering is difficult Time Consuming Expensive Not Scalable
  • 11. The easy route is public 11
  • 12. Traditional feedback data should also be big data
  • 13. Use Online Tools to Collect Data Paper Surveys Time Consuming Not Scalable Expensive Online Forms Limited Question Types Limited Analysis Advanced Question Types Advanced Analytics Customer Service Survey Software
  • 14. Data Utopia 14 What are you looking for in a new car?Desired product features Decision process Do they have credit cards Emphasize quality OfferCOD 82% Higher quality 2% Lower cost 16% No creditc ard Implicit Data Survey Answers Explicit Data
  • 15. Example: Everyone has seen the basic NPS % Promoters - % Detractors Net Promoter Score
  • 16. But shouldn’t NPS vary by attributes? 16 GenderAge LanguagesEmployment Status ExerciseInternet Usage Marital Status GamingHousehold Income LocationEthnicity EducationIndustry Devices
  • 17. These personas have different buying and experience needs 17
  • 18. • If A & B • If A & B & C • Examples: • Women over 70 that run marathons Millennials with Snapchat but not Facebook Think about double pivot and triple pivot 18
  • 19. Every customer is an individual
  • 20. 20
  • 21. 21
  • 22. Case Studies of Small Data at Scale 2
  • 23.
  • 24.
  • 25. 25 • Simple-to-administer surveys eliminate the need to create webpages and forms for each new survey – saving ANA time and money • Customer feedback about ANA’s Facebook page and “ANA Latte” travel website guides content development and increases engagement • Surveys on ANA’s Business Class and Boeing 787 services help gauge customer response to new products
  • 26. 26
  • 27. • General managers are able to obtain immediate access to feedback data and utilize them efficiently • Immediate responses are able to improve guest loyalty and memorable stay experience • Managers can use feedback data to improve their overall satisfaction scores 27
  • 28. 28
  • 29. • Discovered viral content which drew in media coverage of their event • Measured the concerns of local citizens when it came to clean toilets in Singapore and the rating system created by RAS • Established a benchmark on awareness of their cause to now grow against 29
  • 30. Some results are here bit.ly/hkresults
  • 31. 1. Don’t leave customer analysis to just large scale anonymized data sets 1. Customer satisfaction might be the last item people use to make a purchase decision, but a bad customer experience will be the first thing they talk about 2. Create a culture of asking. Use every customer touch point to gain real feedback. Bonus: People will answer the most sensitive questions if you ask right Key points to remember
  • 32. Email me for slides: elis@surveymonkey.com Or see them on my blog: elischwartz.co

Editor's Notes

  1. ANIMATED
  2. ANIMATED