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A Conceptual Model for Describing the Integration of Decision Aspect into Big Data
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Author(s): Fatma Chiheb (LRDSI Laboratory, Saad Dahlab University, Blida, Algeria), Fatima Boumahdi (LRDSI Laboratory, Saad Dahlab University, Blida, Algeria)and Hafida Bouarfa (LRDSI Laboratory, Saad Dahlab University, Blida, Algeria)
Copyright: 2022
Pages: 25
Source title:
Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch014
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Abstract
Big Data is an important topic for discussion and research. It has gained this importance due to the meaningful value that could be extracted from these data. The application of Big Data in the modern business allows enterprises to take faster and smarter decisions, achieving a real competitive advantage. However, a lot of Big Data projects provide disappointing results that don't address the decision-makers' needs due to many reasons. The main reason for this failure can be summarized in neglecting the study of the decision-making aspect of these projects. In light of this challenge, this study proposes the integration of decision aspect into Big Data as a solution. Therefore, this article presents three main contributions: 1) Clarify the definition of Big Data; 2) Presents BD-Da model, a conceptual model describes the levels that should be considered to develop a Big Data project aiming to solve a problem that calls a decision; 3) Describes a particular, logical, requirements-like approach that explains how a company develops a Big Data analytics project to support decision-making.
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