Abstract :
Abstract In today's rapidly evolving business landscape, the effective utilization of data has become paramount for organizations seeking to gain competitive advantage. This paper explores the pivotal role of big data analytics within decision support systems (DSS) from a managerial perspective. By synthesizing existing literature and industry insights, this study elucidates the multifaceted ways in which big data analytics can enhance decision-making processes across various organizational functions. The abstract delves into the strategic implications of integrating big data analytics into DSS frameworks, highlighting its potential to optimize resource allocation, improve operational efficiency, and foster innovation. Furthermore, it investigates the challenges and opportunities associated with implementing big data analytics within managerial contexts, considering factors such as data governance, privacy concerns, and organizational readiness. Through a comprehensive analysis, this paper provides valuable insights for managers and decision-makers aiming to harness the power of big data analytics to drive informed decision-making and sustainable business growth.
Keyword :
Keywords: Big Data Analytics, Decision Support Systems, Managerial Perspective, Data-driven Decision Making, Information Technology, Business Intelligence, Organizational Decision Making, Data Integration, Strategic Management, Decision Support Tools