A Specification Framework for Big Data Initiatives

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Author(s): Anh D. Ta (Advanced Technology Consulting, LLC, USA), Marcus Tanque (Independent Researcher, USA)and Montressa Washington (Independent Researcher, USA)
Copyright: 2015
Pages: 18
Source title: Strategic Data-Based Wisdom in the Big Data Era
Source Author(s)/Editor(s): John Girard (Middle Georgia State College, USA), Deanna Klein (Minot State University, USA)and Kristi Berg (Minot State University, USA)
DOI: 10.4018/978-1-4666-8122-4.ch015

Keywords: Data Analysis & Statistics / Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Given the emergence of big data technology and its rising popularity, it is important to ensure that the use of this avant-garde technology directly addresses the enterprise goals which are required to maximize the Return-On-Investment (ROI). This chapter aims to address a specification framework for the process of transforming enterprise data into wisdom or actionable information through the use of big data technology. The framework is based on proven methodologies, which consist of three components: Specify, Design, and Refine. The recommended framework provides a systematic, top-down process to extrapolate big data requirements from high-level technical and enterprise goals. The framework also provides a process for managing the quality and relationship between raw data sources and big data products.

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