Cite Article
Cite Article
MLA
Ganeshkumar C., et al. "Adoption of Big Data Analytics: Determinants and Performances Among Food Industries." IJBIR vol.14, no.1 2023: pp.1-17. http://doi.org/10.4018/IJBIR.317419
APA
Ganeshkumar C., Sankar, J. G., & David, A. (2023). Adoption of Big Data Analytics: Determinants and Performances Among Food Industries. International Journal of Business Intelligence Research (IJBIR), 14 (1), 1-17. http://doi.org/10.4018/IJBIR.317419
Chicago
Ganeshkumar C., Jeganathan Gomathi Sankar, and Arokiaraj David. "Adoption of Big Data Analytics: Determinants and Performances Among Food Industries," International Journal of Business Intelligence Research (IJBIR) 14, no.1: 1-17. http://doi.org/10.4018/IJBIR.317419
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International Journal of Business Intelligence Research (IJBIR) The International Journal of Business Intelligence Research (IJBIR) is a peer-reviewed publication dedicated to exchanging the latest research and applications, from the academy and the industry, on all aspects of the use of Business Intelligence (BI) in organizations. BI can be presented as an architecture, tool, technology, or system that gathers and stores data, analyzes it using analytical tools, and delivers information and/or knowledge, facilitating reporting, querying, and ultimately, allowing organizations to improve decision making. We have witnessed significant and fast changes in the field. Initially more focused on descriptive analytics, BI systems were dedicated mainly to producing reports to make information available to decision makers. BI is now a multidisciplinary area. Topics such as data visualization and dashboards and the integration of predictive and prescriptive analytics as components of the architectures of BI systems, among other topics, are relevant to the field and worth being considered for research. The more traditional topics related to data warehouse design, modelling and implementation, business analytics and business process management environments, interfaces evaluation, and the critical factors for BI are still relevant for research. Focusing on the Information Systems triad “Business Processes + Persons + Technologies” and its several interactions is also vital in this context.
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