Applications of data warehousing and data mining in the retail industry

Haigang Li
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引用次数: 14

Abstract

The information economy puts a premium on high quality actionable information - exactly what business intelligence (BI) tools like data warehousing, data mining, and OLAP can provide to the retailers. A close look at the different retail organizational functions suggests that BI can play a crucial role in almost every function. It can give new and often surprising insights about customer behavior; thereby helping the retailers meet their ever-changing needs and desires. On the supply side, BI can help retailers identify their best vendors and determine what separates them from not so good vendors. It can give retailers better understanding of inventory' and its movement and also help improve storefront operations through better category management Through a host of analyses and reports, BI can also improve retailers' internal organizational support functions like finance and human resource management.
数据仓库和数据挖掘在零售业中的应用
信息经济非常重视高质量的可操作信息——正是数据仓库、数据挖掘和OLAP等商业智能(BI)工具可以为零售商提供的信息。仔细观察不同的零售组织功能,可以发现BI几乎可以在每个功能中发挥关键作用。它可以提供关于客户行为的新的、往往令人惊讶的见解;从而帮助零售商满足他们不断变化的需求和愿望。在供应方面,BI可以帮助零售商识别他们最好的供应商,并确定他们与不太好的供应商之间的区别。它可以让零售商更好地了解库存及其流动情况,还可以通过更好的品类管理来帮助改善店面运营。通过大量的分析和报告,商业智能还可以改善零售商的内部组织支持功能,如财务和人力资源管理。
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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