Infonomics

Infonomics is the theory, study and discipline of asserting economic significance to information. It provides the framework for businesses to measure, manage and monetize information as a real asset. Infonomics endeavors to apply both economic and asset management principles and practices to the valuation, handling and deployment of information assets.

The term is a portmanteau of "information" and "economics."

In the late 1990s, then META Group and now Gartner IT industry analyst Doug Laney coined the term Infonomics to describe his proprietary research and consulting around quantifying information’s value and defining how to manage information as an actual enterprise asset. This concept stemmed from his work with data warehouse pioneer Prism Solutions (now part of IBM) at which he and his professional services colleagues developed information auditing techniques to validate and qualify and quantify source data quality characteristics and potential business value. These methods were formalized into Prism's commercial ITERATIONS data warehouse methodology still offered by IBM.

Laney’s work builds on and intersects with other disciples including:

The seven principles of infonomics are as follows:

Benefits of applying infonomics principles and practices include but are not limited to:

Throughout the 2000s Doug Laney and his colleagues developed and deployed information asset valuation models, information auditing methods, and information asset management practices. In 2010 Laney formed the Center for Infonomics, a non-profit think tank to collaborate on and further the principles and practices, and the associated the Center for Infonomics LinkedIn Group. The same year he began lecturing on Infonomics at leading business schools holding Infonomics workshops and conducting press interviews on the topic.

John Ladley, author and expert on enterprise information management also collaborates with Laney on infonomics research, and lectures on the topic.

In 2010, Informatica's John Schmidt authored a blog series on Data as an Asset.

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