Business Models for the Data Economy

Business Models for the Data Economy

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You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term.

In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.

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Q Ethan McCallum

Q Ethan McCallum works as a professional-services consultant, with a focus on strategic matters around data and technology. He is especially interested in helping companies build and shape their internal analytics practice. Q has spoken at various events, and his written work has appeared online and in print. He is also engaged in a number of projects, ranging from open-government/civic-data collaborations to open-source software tools. He is currently working on his next book, Making Analytics Work, a management-level guide on how to build an analytics practice. Please visit his website to contact him, to stay up to date on his projects, or to enquire about his professional services offerings.

Ken Gleason

Ken Gleason

Ken Gleason's technology career spans more than 20 years, including real-time trading system software architecture and development and retail financial services application design. He has spent the last 10 years in the data-driven field of electronic trading, where he has managed product development and high-frequency trading strategies. Ken holds an MBA from the University of Chicago Booth School of Business and a BS from Northwestern University.