Information Processing and Data Analytics for Decision Making: A Journey From Traditional to Modern Approaches

Information Processing and Data Analytics for Decision Making: A Journey From Traditional to Modern Approaches

Pooja Nanda, Vikas Kumar
Copyright: © 2022 |Pages: 14
DOI: 10.4018/IRMJ.291693
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Abstract

Decision making is required by all organizations; however, the decision making styles may differ. ost commonly used decision styles include: (a) Autocratic (b) Democratic (c) Consensus and (d) Participatory. With the Globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision making process and decision support systems have come-up as a fastest growing discipline. Present work discusses the evolution of computerized decision support, considering the: (a) Model Driven (b) Data Driven (c) Communication Driven (d) Document Driven and (e) Knowledge Driven decision support systems. All three different business levels: Operational, Tactical and Strategic have been considered in the present work to review the development of decision support systems. The traditional data analysis based approaches have been compared with the latest data analytics approaches including the social media analytics and web analytics. Examples from the different industry sectors have been incorporated for better illustrations of decision support.
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1. Introduction

Decision-making is a method by which a problem is identified and assessed with a few possible solutions being chosen for the same (Al-Tarawneh, 2012). Decision making could be considered as a routine task for administrators in an organization (Antunes and Costa, 2012). Quality of decision is often influenced by the method or process of decision making. Information sharing and communication within active participants is very important in decision making. As globalization and mobility have become a worldwide trend, many organizations have expanded businesses in almost all countries of the world. It is extremely vital for organizations to take decisions across their branches located in different parts of the world. For all organizations, decision making is required, however, the decision making styles may differ. Managers and other business professionals in this environment need to adopt new technologies to find solutions that provide a decision making frame. If a wrong decision-making style is chosen, the organization could face a disaster in terms of loss of reputation and revenue. Managers can make decisions faster and more effectively by choosing the right style. Clarity and accuracy in communication is also an important factor resulting in informed and effective decisions. It is required by organizations to implement an organized view of information for improving their decision procedure. This can be done by collecting and storing data, performing an analysis, and converting the outcomes into beneficial and valued information.

Management follows the planning, organizing, controlling, monitoring and evaluation of business processes. Managers need to delegate the tasks to their subordinates and get things done within the stipulated time. Based on the authority to take decisions, there are three levels of management i.e., operational management, tactical management and strategic management. Decisions related to day to day operational transactions, middle level self-directed work and independent new decisions are taken respectively by each level of management. Strategic decision making has been described as the process of developing mission and organizational goals, and deciding the course of action that a company needs to follow (Sajjad & Francesca, 2016). Collaboration of right and accurate information handled by particular level of manager gives desired outputs. The quality of a decision is often affected by the type of process or the specific manner in which a decision is made and implemented. To enhance their decision-making process, organizations must use a standardized view of the facts. This can be achieved through collection and storage of data, analysis and transformation of the results into useful and valuable knowledge. There are various approaches which can be adopted by organizations for decision making.

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