Leveraging Big Data Analytics for Enhanced Decision-Making and Service Efficiency in The Digital Economy

Abstract

In the rapidly evolving digital economy, organizations face increasing demands for timely, data-driven decision-making and efficient service delivery.  Big data analytics has emerged as a transformative tool in modern information management, enabling organizations to extract actionable insights, optimize operations, and enhance strategic outcomes.  This study examines the effect of big data analytics on decision-making and service delivery efficiency within contemporary organizations.  A descriptive survey design was employed, with data collected from managers and IT professionals across multiple sectors. The study was guided by two research questions. Data were analyzed using mean and standard deviation.  Findings revealed that big data analytics significantly enhances decision-making processes by improving accuracy, accelerating decision cycles, and enabling proactive management through predictive insights. Similarly, service delivery efficiency improved with real-time operational insights, workflow optimization, and enhanced customer satisfaction.  The study concludes that integrating big data analytics into information management systems is essential for competitive advantage and operational excellence in the digital economy.  It recommends among others that organizations should prioritize the adoption of big data analytics tools and technologies to enhance decision-making accuracy and service delivery efficiency.