Business Models for the Data Economy

by Q. Ethan McCallum, Ken Gleason

Overview

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.

Product Details

ISBN-13:	9781491947050
Publisher:	O'Reilly Media, Incorporated
Publication date:	10/28/2013
Sold by:	Barnes & Noble
Format:	eBook
Pages:	28
File size:	1 MB

About the Author

Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The O’Reilly Network and Java.net, and also in print publications such as C/C++ Users Journal, Doctor Dobb’s Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology.

Ken Gleason’s technology career spans more than 20 years, includingreal-time trading system software architecture and development andretail financial services application design. He has spent the last 10years in the data-driven field of electronic trading, where he has managedproduct development and high-frequency trading strategies. Kenholds an MBA from the University of Chicago Booth School of Businessand a BS from Northwestern University.