growth through data science

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 expertise● Communicating data insight

● Curiosity

Hire Scientist!

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

Test your hypothesis with A/B Testing

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

Growth Sprint

1. Set Goals for 2-3 months2. Do the growth hacking process3. 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-testing

asdasd

Case Study: Acquiring App UsersDisplay banner with simple but informative design increase CTR by +34%

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

teguh@bukalapak.com

Referenceshttps://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”