BIG DATA IN INFORMATION SERVICES IN PAKISTAN: EXPLORING DIGITAL ECOSYSTEMS FOR SERVICE PERFORMANCE

Abstract

The rapid development of digital technologies has led to a proliferation of large, varied datasets, transforming how information services are created and delivered. This article explores the significance of Big Data in knowledge ecosystems, particularly the 5Vs: Volume, Velocity, Variety, Veracity, and Value, in libraries, archives, and knowledge management. As data volume and variety grow, concerns about data quality, management, and ethical governance also increase. Predictive analytics, data-driven learning, and real-time processing are becoming more common in information institutions to enhance service delivery, such as through personalized recommendations and more flexible resource allocation. The study is based on a literature review, recent case studies, and quantitative findings from survey results, and looks at how information is being transformed from Information Management and Knowledge Management to data-driven information and data-driven decision-making. It also considers concerns related to algorithmic bias and privacy. The results indicated that the effectiveness of using Big Data in information services depends not only on the infrastructure to support it, but also on data quality and institutions’ ability to convert available data into useful information for decision-making and service enhancement.