Teaching business analytics

Author

Li Yang ; Xumin Liu

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Tennessee at Chattanooga, Chattanooga, TN, USA

fYear

2013

fDate

23-26 Oct. 2013

Firstpage

1516

Lastpage

1518

Abstract

It is essential to prepare students with knowledge and skills in area of business analytics (BA) which will help business to process data, find patterns and relations, develop insights from past transactions, and make prediction. We develop hands-on labs to teach business analytics to students in Computer Science, Information Technology, and Software Engineering disciplines. Our hands-on labs can be adopted in courses such as database systems, data warehousing, data mining, etc. We use enterprise BA tools including MS SQL Server Business Intelligence and Cognos 10 platforms, which are essential to increase student interests, improve student learning, and enhance student confidence. Our hands-on labs contain three parts with one is built upon another: 1) Data integration; 2) Data Warehouse; and 3) Business analytics.

Keywords

SQL; business data processing; computer aided instruction; data integration; data warehouses; educational courses; knowledge management; management education; teaching; Cognos 10 platforms; MS SQL server business intelligence; business analytics; business data process; computer science; courses; data integration; data mining; data warehouse; data warehousing; database systems; enterprise BA tools; hands-on labs; information technology; software engineering disciplines; student confidence; student interests; student learning; student skills; students knowledge; teaching; Barium; Data handling; Data mining; Data storage systems; Education; Information management; business analytics; data analytics; hands-on learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in Education Conference, 2013 IEEE

Conference_Location

Oklahoma City, OK

ISSN

0190-5848

Type

conf

DOI

10.1109/FIE.2013.6685090

Filename

6685090