Big Data Strategies for Monetization

Post on 15-Jun-2015

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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