Big Data Analytics :Data-drived Decision Making for Enhanced Enterprise Performance
Benjamin Kiprono
University of Kabianga
Keywords: Big data, data mining, data analytics, predictive analytics, knowledge discovery
Abstract
The demand for data driven decision making has consistently grown over the last couple of years. Driven by the desire to compete effectively in a business environment that is ever dynamic; where predicting the behavior of customers and their demand patterns is critical to an enterprise’s performance; the dependence on data to provide this information to firms has inherently grown. A key driver for this has been the growth in the volumes of data gathered by firms as well as an increasing acquisition of computer based information systems within organizations. Issues still arise on the slow uptake of these descriptive analytic tools as only a few organizations globally have fully implemented data analytics systems and tools. This paper therefore presents a case for big data analytics for firms. We first analyze the benefits and trends in big data and data analytics and later present a case on why big data analytics is the technology for the future.
Author Biography
Benjamin Kiprono, University of Kabianga
Department of Information Technology, University of Kabianga
