Business Intelligence Using Machine Learning

Amit Manglik, J. Singh
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Abstract

Among many objectives, one objective is the profit maximisation for every business organisation. This profit maximisation is possible when the competitive edge over competitors is maintained. Recognising business customers is essential to achieve significant revenue and a strong competitive edge. Managers in the corporate world of today are taking business intelligence (BI), one of the IT disciplines, more seriously. The majority of commercial organisations are extremely eager to adopt intelligent technologies in order to make better selections about the business process. Since the capacity to achieve a goal in a manner similar to that of a person is what is meant by intelligence, it may be claimed that being more human-like a technology is, the more smart it is. The expert system may expand its knowledge via machine learning (ML), experiences, and learning new things. The creation of reports utilising a range of management dashboards for important and effective choices based on the firm’s key performance indicators is one of the fundamental objectives of integrating BI in any organisation.
使用机器学习的商业智能
在众多目标中,一个目标是每个商业组织的利润最大化。当保持对竞争对手的竞争优势时,这种利润最大化是可能的。认识到商业客户对于获得可观的收入和强大的竞争优势至关重要。当今企业界的管理人员正在更加认真地对待IT学科之一的商业智能(BI)。大多数商业组织都非常渴望采用智能技术,以便对业务流程做出更好的选择。既然智能指的是以类似于人的方式实现目标的能力,那么可以说,一项技术越像人,它就越聪明。专家系统可以通过机器学习(ML)、经验和学习新事物来扩展其知识。基于公司的关键绩效指标,利用一系列管理仪表板为重要和有效的选择创建报告是在任何组织中集成BI的基本目标之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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