Deck on "Building a Data Culture", presented to the Startup Next program in Montreal. Presentation makes the point that data culture is built on top of data availability. It then explores a high level understanding of what drives data culture.

1. Building a Data Culture
Isaac Souweine
Head of Product @ Frank & Oak
Presented to Startup Next, Montreal
March 23, 2015

2. Personal Intro
● Columbia (Religion)
● Scholastic
● INSEAD
● Yahoo
● Pollenizer
● Frank & Oak

3. This Talk
DATA AVAILABILITY
DATA CULTURE
AWESOME CO.

4. Part 1 - Data Availability

5. The F&O BI Stack (Simplified View)
CUSTOM ANALYSIS
VISUALIZATION + ANALYSIS
DATA WAREHOUSE
EVENT PROCESSING
EVENT TAGGING
AUDIENCE ANALYTICSDATA

6. Making Data Availability Work
● Right tech
● Right people
● Right attitude
● Right execution

7. IF A USER CLICKS A BUTTON
BUT AN EVENT ISN’T
TRIGGERED, THEN DID THE
SERVER CALL GET MADE?

8. Part 2 - Data Culture

9. The 3 Pillars of Data Culture
1. A shared belief that a product experience can be
distilled into data points
2. Widespread agreement on what those data points
are and how they are computed
3. A company culture that puts those key data points
at the center of ALL decision making

10. Making Data Culture Work
● Data availability!!
● Less is more - OMTM
● Unit economics
● Cohorts are king
● Empower the end user
● Testing methodology
● Unified systems
● Data as a necessary condition

11. Data Culture in Practice
● Pull Dashboards
● Push Dashboards (email)
● Metrics reviews
● Vigorous debate
● Visual data culture (screens)

12. Example - Data Questions
● Which traffic sources deliver the best CAC?
● Which emails deliver the best CTR?
● Which version of the HC Join page converts best?
● How effective are modals in driving feature
adoption?
● Is the increased AOV for Select Crates cancelled
out by the higher return rate?

13. A final thought. . .

14. isaac@frankandoak.com
@sonofsarah