Though data is increasingly seen as a source of power and wealth, very few organizations today realize what they have. Companies collect an astonishing volume and variety of data, but most of them lack the skills and experience needed to identify and gauge the value of these assets. And so they tend to give all of their data equal weight.
In this O’Reilly report, Greg Fell and Mike Barlow examine the risks and financial costs organizations face when they treat all data equally. Through interviews with several industry experts, you’ll get advice for determining the value of the data you collect, depending on who in your company is using it, how and where it’s being used, and when and why they’re using it.
Pick up a copy of this report to learn the "5Ws and 1H" of data usage, the C-I-A (confidentiality, integrity, and availability) approach for managing data risk, seven core strategies for monetizing data, and a method for mapping the risk/reward tradeoffs of your data.
Table of contents
Not All Data Is Created Equal
- What Your App Isnât Telling You
- Combining Data Can Be Risky Business
- A Calculated Risk
- Privacy Isnât Dead; Itâs on Life Support
- Are Your Algorithms Prejudiced?
- Seeking the Goldilocks Zone for Data
- Consider How the Data Will Be Used
- Knowing Which Data Needs the Most Protection
- The C-I-A Method
- Whatâs the Downside?
- Risk versus Rewards
- Data Is Not a Commodity
- Title: Not All Data Is Created Equal
- Release date: April 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491943304
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