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Data Centric Products
ProdCon 2016 University of Waterloo
March 5, 2016
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@josephbyData Centric Products
• Why you should care
• The right problem
• The right least wrong solution
• Conclusion
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Why You Should Care
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@josephbyData Centric Products
What Product Managers People Do:
1. Strategy
What game are we playing? How do we keep score?
2. Prioritization
3. Execution
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@josephbyData Centric Products
1. All digital products are data products
2. There’s too much data
All products will use machine intelligence
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@josephbyData Centric Products
What I’m Not Talking About
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What I Am Talking About
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A Story
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@josephbyData Centric Products
–Dennis Crowley, Foursquare, March 2015
“The big idea was to create a system that could crawl the world with people in the same way Google crawls web pages with machines. To then put all of what we’ve learned to use in
helping people find the best and most interesting experiences in the real world.”
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@josephbyData Centric Products
The Right Kind of Problem
• acute pain / strong passion
• customers with money
• a way to procure training data at scale
• fault-tolerability e.g. user-in-the-loop
• easy-to-demonstrate solution
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@josephbyData Centric Products
• Think about your data pipeline.
• Choose where to accumulate technical debt.
• Be anti-fragile. Focus on getting better over time.
The Right Least Wrong Solution
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@josephbyData Centric Productshttp://stackshare.io/500px/
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@josephbyData Centric Products
Conclusion• All products are data products
• Focus on big, valuable problems that machines can solve with data
• Put machine intelligence at the centre of your product strategy – even if it is not yet part of your product
• Be anti-fragile
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@josephbyData Centric Products
Thank You!Get in touch!
• @josephby
• medium.com/@josephby
• slideshare.net/josephby