使用数据分析的商业智能技术:概述

Pooja Mallam, Ashu Ashu, Baljeet Singh
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引用次数: 0

摘要

商业智能和数据分析领域确定业务处于危险或表现良好的领域。对于企业可能在哪些方面有所欠缺,人们的看法要好得多。商业分析和数据分析使用多年积累的证据,并获得有用的信息,以了解业务中的畸形。这意味着信息被组织和呈现,允许它可视化。虽然原始数据很重要,但一旦信息变得有价值并显示出价值,就可以更直接地理解见解。本文简要回顾了使用数据分析的商业智能在一段时间内的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Business Intelligence Techniques Using Data Analytics: An Overview
Business intelligence and data analytics areas identify areas where business is at stake or performing well. A much better view of where business may be dropping short is observed. Business Analytics and Data analytics use evidence accumulated over years and get useful information to know where is deformity in businesses. This means that the info is organized and presented that allows it to be visualized. While raw numbers are important, once information becomes valuable and demonstrate value, making insights more straight forward to understand. This paper gives you a brief review of development of business intelligence over course of time using Data Analytics.
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