Data Centric Products

ProdCon 2016 University of Waterloo

March 5, 2016

@josephbyData Centric Products

• Why you should care

• The right problem

• The right least wrong solution

• Conclusion

Why You Should Care

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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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1. All digital products are data products

2. There’s too much data

All products will use machine intelligence

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What I’m Not Talking About

What I Am Talking About

A Story

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–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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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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• 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

@josephbyData Centric Productshttp://stackshare.io/500px/

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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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Thank You!Get in touch!

• @josephby

• medium.com/@josephby

• josephby@joseph.by

• slideshare.net/josephby