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Music 4.5 Iast.fm
1. Last.fm – A Music Data Business Case Study
Chris Wistow - Commercial Director
Adrian Woodhead - Technical Team Lead
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2. A Music Data Business Case Study
Presented by:
Chris Wistow - Commercial Director
Adrian Woodhead - Technical Team Lead
3. Summary
• The journey to 75 billion scrobbles
• The API is your friend
• Creating value from data
• Data wizardry for brands & advertisers
• Experiences and personalisation for users
• Pizza, Beer and the developer community
• What have we learnt?
• Q&A
5. The journey to 75 billion scrobbles
• Lack of familiarity with
online sharing
• Before FaceBook,
Google+, Four
Square etc.
• Before "Big Data"
6. The journey to 75 billion scrobbles
• Users own their data (co-
creators)
• Easy to submit data
• Enrich data - aggregation,
combination, refining
• Give the benefits back
• Self-perpetuating feedback
loop
• Last.fm has become the
'music check-in'
7. The API is your friend
• Anyone can build their own apps using Last.fm data
• Over 100 API methods available
• One of the earliest and largest API collections available
• Enables a third party ecosystem
• Surface user data in other applications and mash-ups
• Integration with other open systems (MusicBrainz)
9. Creating value from data
• Commercially
o Creating powerful engagement for brands
o Data licences for commercial use
• Internally
o New features and product development
o Unique data led experiences for users
• Externally
o Developer community
o Music standards (MusicBrainz)
o Supporting innovation
12. Hacking, pizza and beer
The developer community and it's open data ethos has been crucual in
developing the Last.fm brand and its values
• Hack days
• Music Standards
• Big data sets
• Recruitment
• Innovation
• The next big thing
• Lots of beer! :)
13. What have we learnt?
• Pioneers don't always get it right...
o No API keys in early days!?! free for all!
o Limited controls and policies for a long time
• Significant API over usage
o Uncontrolled growth = tech debt and overheads
o Inappropriate and incorrect usage
14. What have we learnt?
• Leaking value
o Being 'too' open
o Other business building on top of our data and taking
advantage of our heavy lifting and IP
o Tight controls are a must - regular reviews, commercial vs.
non-commercial
• Data success with brands and advertisers
o Data storytelling enables us to be unique and stand out
o Data is a key USP in market (more than just streaming)
o Advertising innovation using data