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The need to manage and analyse the data for organization's performance has increased.
In addition, there are different approaches and tools that support using BI in organizations. https://doi.org/10.1108/LHTN-03-2018-0016 Download as .
This paper aims to focus on the use of BI tools for academic applications, and it describes how the academic area will benefit from using BI.
At the moment, business intelligence (BI) is known as the way for analyzing data in an organization.
Simple search in the literature shows that there are many papers which discuss about BI applications and related matters.
The incorporation of cloud computing technology offers great potential.
Simulation of Knowledge Sharing in Business Intelligencefree download ABSTRACT Knowledge sharing is one of the most critical elements in a knowledge based society.Here in this case we PULS: natural language processing for business intelligencefree download Abstract The on-going information explosion affects in particular the business domain, in relation to corporate strategy and business decisions.This paper describes work, which addresses the problem of information overload in the business domain.A process for using BI tools in academic applications has been presented. (2018), "A research on the use of business intelligence for academic research", Library Hi Tech News, Vol. Also, two cases are stated about activities of e-learning participants and literature analysis, for which BI tools are used to analyze data and simplify difficult tasks. The attention of researchers is shifting towards human factors of BI adoption.The wide set of human factors influencing BI Business Intelligence as a Service in Analysis of Academic Coursesfree download Abstract Business intelligence (BI) has become a very reliable means in the decision making process.Business intelligence performs the operations to gather, transform, analyze and present the raw data to aid in the decision making.The implementation of service oriented Implementing Business Intelligence System-Case Studyfree download Abstract: Understanding and analysis data is essential for making decision within a system.The large or midsize companies need a technology to adapt changing requirements, to deal with rich amount of data; to get correct information, analysis data, and finally to quick support Probabilistic and Fuzzy Logic based Event Processing for Effective Business Intelligencefree download Abstract: This paper, focuses on Probabilistic Complex Event Processing (PCEP) in the context of real world event sources of data streams.PCEP executes complex event pattern queries on the continuously streaming probabilistic data with uncertainty.