September 2014
Sponsored by Cisco
In this paper, we explore the evolution of metadata to context-setting information and describe the Business Directory in which it is stored, managed and made available to business users. We propose the adaptive decision cycle as a model to bridge from discovery and exploration to production and governance. Finally, we offers an emerging vision of sandboxing as an environment where data can be reunited with the context needed both for informed innovation and optimized production.
Abstract
Data without context is meaningless. It is also valueless. Without a well-understood business context, any derived information and subsequent decisions are open to multiple interpretations or, worse, misinterpretation. It is the context–and, by extension, a Business Directory that manages this context–that promotes the value and virtue of data.
In a world of rapidly growing big data from many sources, data virtualization is opening a treasure trove to business users. Exploration and experimentation is rife; opportunities for innovative analytics and decision making abound. However, without a process to move from exploration to production, many of the gains may be lost. The adaptive decision cycle and sandboxing, built on the Business Directory, offer a solution.
This paper explores the evolution of metadata to context-setting information and describes the Business Directory in which it is stored, managed and made available to business users. It proposes the adaptive decision cycle as a model to bridge from discovery and exploration to production and governance. Finally, it offers an emerging vision of sandboxing as an environment where data can be reunited with the context needed both for informed innovation and optimized production.
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