Date of Award

Summer 2014

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Technology Leadership and Innovation

First Advisor

Kathryne A. Newton

Committee Member 1

Chad Laux

Committee Member 2

Edie K. Schmidt

Abstract

Who likes data? Businesses are always loyal data followers. Companies analyze various forms of data to maintain businesses and identify their current performance in different areas so they can find business opportunities to improve and obtain more market share in advance (Qrunfleh & Tarafdar, 2012). When Big Data comes to businesses, companies who can take advantage of data the best tend to regularly get more business and customers (Waller & Fawcett, 2013). Collecting, analyzing, and demonstrating data could be essential to a single business, a company's supply chain performance and its sustainability. As an intelligent data processing product in terms of information technology, business intelligence (BI) offers one of the more advanced solutions to face this challenge. The purpose of business intelligence is to improve the information quality and help users make better decisions on business processes by using data (Ranjan, 2009).This study was conducted to examine the use of business intelligence techniques in supply chain performance across various companies, departments and industries. The research also compared different BI vendors and their products. The purpose of this study was to conduct an online survey based on a supply chain performance benchmark to mainly evaluate manufacturing and information technology companies and their user experience of BI techniques.

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