bigdoor business intelligence in 15 minutes

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Post on 18-Dec-2014

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Eva Monsen, BigDoor's own business intelligence developer, gives a real-world example of "big data" and what it means for us at BigDoor. Eva walks us through the BigDoor data pipeline, which is the technology path that data takes to get from its raw form to reports and visualizations.

TRANSCRIPT

Page 1: BigDoor Business Intelligence in 15 Minutes
Page 2: BigDoor Business Intelligence in 15 Minutes

What is BigDoor?

Online marketing through loyalty programs

Partner: Enterprise brands with online presence

Goals: Registration, engagement, loyalty

Product:

Users earn virtual currency for actions

Users exchange virtual currency for rewards

Page 3: BigDoor Business Intelligence in 15 Minutes

PacSun.com + BigDoor

Page 4: BigDoor Business Intelligence in 15 Minutes

PacSun.com + BigDoor

Page 5: BigDoor Business Intelligence in 15 Minutes

BigDoor Data Goal

Prove that we are meeting Partner goals

Registration: Are people registering?

Registration rate of control and exposed groups

Engagement: Are participants more engaged?

Actions per user in control and exposed groups

Loyalty: Do participants return?

Daily unique users v. monthly unique users

Page 6: BigDoor Business Intelligence in 15 Minutes
Page 7: BigDoor Business Intelligence in 15 Minutes

Data Challenges

Peak: ~800 requests per second

Business data ->Transactional SQL DB

Optimized for write speed and flexibility

Unregistered user requests -> Apache logs

Flat text files

Need all data in one place

Fast queries

Easy to slice and dice

Page 8: BigDoor Business Intelligence in 15 Minutes

BigDoor Architecture

Load Balancer

App Host

App Host

App Host

SQL DB

Log Processing

ETL

Aggregation

Data Warehouse

Page 9: BigDoor Business Intelligence in 15 Minutes

Drop us a line any time! Contact: [email protected]