Big Data for Customer Knowledge Management

被引:1
|
作者
Olszak, Celina [1 ]
Kisiolek, Arkadiusz [1 ]
机构
[1] Univ Econ Katowice, Katowice, Poland
来源
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2019, PT III | 2020年 / 1052卷
关键词
Big data; Knowledge management; Data mining; Text mining; Sentiment analysis;
D O I
10.1007/978-3-030-30443-0_22
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Contemporary organizations face numerous challenges, including effective customer knowledge management (CKM). A knowledge about customers, their behaviors, preferences and interests has become an important asset and a source of competitive advantage. It is said that effective CKM results mainly in increase of sales, customer satisfaction and loyalty. Customer knowledge management is a complex process based on appropriate acquiring, storing and analyzing of different, dispersed information resources as well as discovering a new knowledge about customers. Nowadays, more and more information about customers originate from Internet, social media, mobile devices and different data bases that are called big data (BD). An exploration of BD has become for many organizations an excellent opportunity to better know their customers and to gain a greater understanding of the way of CKM and the challenges that confront it. The main objective of this study is to investigate a role of BD for customer knowledge management.
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页码:244 / 253
页数:10
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