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Growth through
Data Science
@teguhn | Bukalapak Data Scientist
Bukalapak Data Team
Why Data Science?
To see clearly through (big) data
Skills of Data Scientists
● Collecting, querying data
● Math and Statistics
● Programming, scripting
● Domain-specific exp...
Hire Scientist!
Types of questions
● Descriptive: What happened?
● Exploratory: See patterns in variables
● Inferential: Estimating variab...
Test your hypothesis with A/B Testing
Why A/B Testing?
● Randomization experiment
● Confirming which idea is better
● Only some users will be tested
● Developme...
Growth Sprint
1. Set Goals for 2-3 months
2. Do the growth hacking process
3. Learn and iterate
Test on every funnel: AARRR
http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version
Test on every platform
http://techblog.weddingwire.com/blog/posts/the-matrix-a-quick-guide-to-cross-browser-compatibililty...
Case Study: Acquiring App Users
Display banner with simple but informative design increase CTR by +34%
Case Study: Prevent exiting checkout
Confirmation popup on mobile web to prevent users leaving checkout page improve conve...
teguh@bukalapak.com
References
https://rjmetrics.com/resources/reports/the-state-of-data-science/
https://datasciencespecialization.github.io
...
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Growth Through Data Science

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Presented in Hyper-Growth through Data Science
Bukalapak Hall, Jakarta Selatan, Indonesia
MON, NOV 23, 2015

Publicada em: Dados e análise

Growth Through Data Science

  1. 1. Growth through Data Science @teguhn | Bukalapak Data Scientist
  2. 2. Bukalapak Data Team
  3. 3. Why Data Science? To see clearly through (big) data
  4. 4. Skills of Data Scientists ● Collecting, querying data ● Math and Statistics ● Programming, scripting ● Domain-specific expertise ● Communicating data insight ● Curiosity
  5. 5. Hire Scientist!
  6. 6. Types of questions ● Descriptive: What happened? ● Exploratory: See patterns in variables ● Inferential: Estimating variables population ● Causal: Does x affect y? ● Predictive: Predict values for another object Image : http://www.gs.washington.edu/academics/courses/akey/56008/lecture/lecture1.pdf
  7. 7. Test your hypothesis with A/B Testing
  8. 8. Why A/B Testing? ● Randomization experiment ● Confirming which idea is better ● Only some users will be tested ● Development effectivity ● Know the significance of the change ● Utilizing traffic Image : http://www.gs.washington.edu/academics/courses/akey/56008/lecture/lecture1.pdf
  9. 9. Growth Sprint 1. Set Goals for 2-3 months 2. Do the growth hacking process 3. Learn and iterate
  10. 10. Test on every funnel: AARRR http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version
  11. 11. Test on every platform http://techblog.weddingwire.com/blog/posts/the-matrix-a-quick-guide-to-cross-browser-compatibililty-testing asdasd
  12. 12. Case Study: Acquiring App Users Display banner with simple but informative design increase CTR by +34%
  13. 13. Case Study: Prevent exiting checkout Confirmation popup on mobile web to prevent users leaving checkout page improve conversion rate +32.5%
  14. 14. teguh@bukalapak.com
  15. 15. References https://rjmetrics.com/resources/reports/the-state-of-data-science/ https://datasciencespecialization.github.io http://www.gs.washington.edu/academics/courses/akey/56008/lecture.htm http://datascopeanalytics.com/blog/six-qualities-of-a-great-data-scientist/ http://conferences.oreilly.com/strata/big-data-conference-uk-2015/public/schedule/detail/39814 https://datajobs.com/what-is-data-science http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version Lillian Pierson, “Data Science for Dummies”

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