This document discusses using data to build new products and solve business problems. It outlines linking different data sets together and adding to existing data to gain new insights. Examples are given of tying demographic data to interest data to better understand audiences. Specific examples discussed include analyzing over 3.6 million tweets to understand trends around Halloween and using social listening, demographics, interests and history to inform dating predictions. The importance of clear visualizations and designing products around user workflows is emphasized.

1. Incubator
@thehatchery
Yao Huang
Building Products Out of Data

2. What is Innovation?

3. Business Problem
What do you know?
Finance
Healthcare
Media
Retail
Politics

4. Solved with Merged or Unique Data
• Created, gathered, parsed
• Linking data sets
• Adding to what you have

5. Tying Demographics : Interest
• Demo – where can you find?
• Interest – where can you find?
• Normalize
• Answer questions using clear visualizations
• Think of the audience

6. McDonalds universe
Based on 3.6M tweets

7. Halloween

10. Social Listening
• What is being said
• How does that compare with…
• Who’s saying it
• Where is it most prevalent

13. Dating
• Demographic
• Behavioral
• Interests
• History
New:
• Learned data, experiences
• Pulled, not provided
• Image analysis
• Benchmark, comparison

20. Predictions
• Trends
• Finance
• Healthcare
• Media
• Politics
• Insurance!

22. Visualization
• Get to the point
• Make it easier without having to figure it out

24. Product
• Figuring how it folds into their day, their
workflow. Has nothing to do about you.

29. Incubator
@thehatchery
Yao Huang