why we love metadata (edinburgh)
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Why we Metadata
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Why Metadata?
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
Tuesday, 30 November 2010
Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
Programme
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
ProgrammeSegments
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
ProgrammeSegmentsSubtitles
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
ProgrammeSegmentsSubtitlesTweets
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Data Metadata
Cost sideExample: BBC Question Time 23/09/2010 - data sizes
ProgrammeSegmentsSubtitlesTweets
Interactions
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Revenue sidepossibilities - TV
Data
• Passive viewing of full content
• Schedule-based discovery
• Advertising targeting based on content demographics
• Content commissioned based on surveys and samples
Metadata
• Segmentation of content
• Many modes of discovery• Search• Content-based• Personalised guides• Social context
• Highly targeted advertising
• Commissioning/product development based on detailed data
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“find, play, share”
"give people the power to share"
“be the pulse of the planet,”
“organize the world's information”
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Things We Have Made2007 20102008 2009
Project PinkTotem
Social Media Guide
Test Tube Telly
Come Dine With Me Homemade Project Red
Amplus
WatchSomething
VoteUp/Gawp
URIplay
Atlas
Project Purple
Project Blue
Project Teal Project Orange Project Brown
Project Black Project Pale
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2007 20102008 2009
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realtime video
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2007 20102008 2009
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2007 20102008 2009
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2007 20102008 2009
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How does this metadata fundamentally increase the value
of the content?
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Things we’re thinking about
• Mining relevance, and value out of archives
• Working with tastemakers
• Seamless collection of preferences to:
• Re-activate users
• Extend journeys (inc ads)
• Optimise pricing
• Joining interaction data from across disparate systems
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How can we efficiently produce better metadata?
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Things we’d like #1
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Things we’d like #1
Better namesTuesday, 30 November 2010
Things we’d like #2
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Things we’d like #2
Important timeline data
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Things we’d like #3
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Things we’d like #3
MeaningTuesday, 30 November 2010
Why we Metadata
Presentation available at:http://www.slideshare.net/simsocast/why-we-love-metadata
Chris Jackson / @adrideoCEO - [email protected]
So long, and thanks for all the pictures ):
• http://www.flickr.com/photos/blahflowers/3713933900/• http://www.flickr.com/photos/uwehermann/132244826/• http://www.flickr.com/photos/dailyinvention/497294952/
Photos are used under a creative commons commercial licence
Thank you!
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