Big Data Strategies for Monetization
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Transcript of Big Data Strategies for Monetization
Practical BIG DATA Strategies for
Monetization in the TV Business
Dr. Ofer Weintraub EVP Innovation
@oferweintraub
Remember ?
Strategy #1:
Crowd knowledge (explicit)
Magnolia officinalis
Should I take it?
Doctor says NO
Crowd says
Yes
71 % satisfied (4 or 5) Average rating 3.9
Is big data my new doctor?
Crowd can tell us what works for us too…
Where’s the money?
- Put to production only what works - Reduce time to market - Achieve scale at low cost
Strategy #2:
Telling stories
An algorithm for creativity
Input: Ingredient, region and type of dish
Output: Plenty of new recipes (12-14 ingredients) rated: - By flavor - Novelty - Smell - Taste - Step by step instructions
(future)
IBM Watson project description http://www.theverge.com/2014/3/9/5483136/watsons-food-truck-ibms-supercomputer-learns-to-cook
Tell stories with data
Where’s the money?
- New monetization opportunities (sponsorship, ads, goods) - Increased engagement & emotional binding (more time & commitment) - Recruitment and retention via social sharing
Strategy #3:
Exploration
Where from here?
You choose the path – we monetize it
Where’s the money?
- Monetize the path - Personalization = user satisfaction - Serendipity leads to exposure and expansion
Strategy #4:
Analytics (implicit)
Over 600,000 pieces of medical evidence 2,000,000 pages of text from 42 academic journals and human studies (clinical trials) based on oncology research
Personalization and analytics
Interaction analytics Recommendations
Where’s the money?
- Personalized services and ads - New offerings - Better customer management
Thank you