A New Model for Integrating Big Data into Phases of Decision-Making Process

Abstract

Big data is becoming a key factor within organizations since the application of Big Data in modern business provides information in real-time that allows organizations to take a faster and smarter decision. Therefore, big data is widely used in many domains of modern society to achieve progress in these domains. This study aims to harness the opportunity of Big Data to enhance the decision-making process in the organization. The objective of this paper is to develop a theoretical model that integrates big data into the decision-making process to improve the decision-making process in the organization. The proposed model relies on three basic elements, namely: (1) decision-making process that includes four phases: intelligence, design, choice, and implementation phase;(2) big data analytics to collect, store, manage, and analyze the huge amount of diverse data to extract business value; and (3) decision-modeling using Decision Model and Notation standard to support the communication between the decision makers and Big Data analytical team during the phases of the decision-making process. The interaction between these three elements enhances the decision-making process to make smarter and faster driven-data decisions that make a real impact in the organization.