The document discusses the potential of data mashups in transforming underutilized data into actionable insights. It emphasizes the importance of diverse datasets and tools for data wrangling, such as Hadoop and Python, to uncover meaningful problems and patterns. By focusing on actionable results, data mashups can enable predictions and recommendations, ultimately turning data exhaust into valuable information.

1. Data Mashups
May 12, 2011
Data Scientist Summit
Turning Data Exhaust into
Pete Skomoroch
LinkedIn Insights
@peteskomoroch

2. We have an explosion of data
• DataWrangling
• InfoChimps
• Data.gov
• Factual
• SimpleGeo

3. And the tools to make sense of it
• Hadoop
• NoSQL
•R
• Python
• Mechanical Turk

4. Diverse datasets = better signal

7. Find a meaningful problem
• Identify pain points
• Work on stuff that
matters
• Focus on
underutilized data
http://www.flickr.com/photos/aloshbennett/

8. Trendingtopics.org @hourlytrends

9. LinkedIn Skills

10. The best mashups are actionable
• Reveal patterns
• Enable predictions
• Recommendations

11. Mashup: Skills & Cities

12. Yuba City, California: 21.3% Unemployment

13. Ames, Iowa: 4.7% Unemployment

14. Make data mashups work for you
• Open Data = powerful mashups
• Mashup > sum of its parts
• Focus on meaningful problems
• Actionable mashups are better