Quantitative approach in enhancing decision making through big data as an advanced technology

Abstract

The technology of Big Data got the capability to process large amounts of data, manage them effectively and make retrieval whenever it is required. Decision making in any organisation is a challenging task since decisions need to be made based on the accessibility of data and its status, this becomes more challenging especially in large organisations that generate massive amount of information and data every single day. Implementation of latest advanced technologies like Big Data is imperative for any organization to make decisions which reduces time and pave the fourth industrial revolution. Even though this is vital in today’s business world, there are still few organizations that are hesitant to adopt it. This paper illustrates the relation between Big Data and effective decision making by implementing a quantitative analysis through questionnaire. The conducted analysis is implemented using SPSS through correlational perspective, where percentage analysis, Chi-Square, correlation, and regression analyses are performed to obtain results. It is clearly depicted that large organizations transition to adopt Big Data to aid their decision making, where medium and smaller organizations were slowly transitioning the adoption. In spite of this, most of employees, irrespective of the type of organization agree that Big Data is indeed a powerful advanced technology as they were satisfied by the organizational direction they have taken.