Discovering business insights from multi-dimensional data to strengthen enterprise competitiveness: A case study in manufacturing industry

Author

Tao Qin ; Miao He ; Jinfeng Li ; Bing Shao ; Changrui Ren

Author_Institution

IBM Res. - China, Beijing, China

fYear

2013

fDate

28-30 July 2013

Firstpage

512

Lastpage

517

Abstract

With fierce competition in traditional manufacturing industry, it is urgent to find an effective way to gain competitive edge for enterprises to win market share. In this paper, we introduce novel ideas on new product design and customized product marketing in order to improve enterprises competitiveness by discovering business insights from multidimensional data, including product/customer profiles, sales data, Voice of Customers (VoC), and so on. A detailed case study on one famous home appliance manufacturer in China is given. Especially, VoC is introduced into new product design and the statistical model - Analysis on Variance (ANOVA) is applied to conduct in-depth data analysis.

Keywords

domestic appliances; market opportunities; market research; product customisation; product design; statistical analysis; ANOVA; China; business insights; enterprise competitiveness; home appliance manufacturer; manufacturing industry; marketing; product customization; product design; product-customer profiles; sales data; statistical model; variance analysis; voice-of-customers; Analysis of variance; Business; Data analysis; Data models; Manufacturing; Product design; Testing; customized marketing; enterprise competitiveness; new product design and development; voice of customer;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on

Conference_Location

Dongguan

Print_ISBN

978-1-4799-0529-4

Type

conf

DOI

10.1109/SOLI.2013.6611468

Filename

6611468