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

1. Growth through
Data Science
@teguhn | Bukalapak Data Scientist

2. Bukalapak Data Team

3. Why Data Science?
To see clearly through (big) data

4. Skills of Data Scientists
● Collecting, querying data
● Math and Statistics
● Programming, scripting
● Domain-specific expertise
● Communicating data insight
● Curiosity

5. Hire Scientist!

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. Test your hypothesis with A/B Testing

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. Growth Sprint
1. Set Goals for 2-3 months
2. Do the growth hacking process
3. Learn and iterate

10. Test on every funnel: AARRR
http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version

11. Test on every platform
http://techblog.weddingwire.com/blog/posts/the-matrix-a-quick-guide-to-cross-browser-compatibililty-testing
asdasd

12. Case Study: Acquiring App Users
Display banner with simple but informative design increase CTR by +34%

13. Case Study: Prevent exiting checkout
Confirmation popup on mobile web to prevent users leaving checkout page improve conversion rate +32.5%

14. teguh@bukalapak.com

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”