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Business Models for the Data Economy, by Q. Ethan McCallum, Ken Gleason
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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.
- Published on: 2013-10-28
- Released on: 2013-10-28
- Format: Kindle eBook
Most helpful customer reviews
1 of 1 people found the following review helpful.
Meh...
By KierONeil
First of all this 'book' is very short. I expected an in depth perspective on the various attributes needed to make a profitable enterprise in the data-oriented business structure but just didn't think that this delivered.
I don't remember if I paid for this or not. It would be fine if it were free but if I paid more than $1.99 then I paid too much.
0 of 0 people found the following review helpful.
Nice intro into Data Economy business models
By Mike Brooks
This is a concise guide on the material the title suggests. It is a good read for people who want to quickly understand how businesses are making money off data storage, retrieval,and security. It is not technically detailed. The material is written for getting a high concept of the ideas presented. It is a short, easy read with knowledgeable explanation of the topics involved,
0 of 0 people found the following review helpful.
This is a really simplified and easy to understand book that fully explains the business model ...
By Ng Chee Siang
This is a really simplified and easy to understand book that fully explains the business model available for a data economy.
A fantastic beginner read for people like me who are interested in reading up on big data
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