scholarly journals Web Intelligence in Higher Education: A Study on the Usage of Business Intelligence Techniques in Education

2018 ◽  
Author(s):  
Adriano Maia ◽  
Filipe Portela ◽  
Manuel Filipe Santos
Keyword(s):  
Higher Education ◽  
Business Intelligence ◽  
Web Intelligence

ASD-BI

2015 ◽  
pp. 61-82
Author(s):  
Mouhib Alnoukari
Keyword(s):  
Higher Education ◽  
Data Mining ◽  
Tacit Knowledge ◽  
Business Intelligence ◽  
The Other ◽  
Agile Methods ◽  
Discovery Process ◽  
Agile Method ◽  
Agile Methodologies ◽  
Business Intelligence Systems

ASD-BI is an agile “marriage” between business intelligence and data mining. It is one of the first attempts to apply an Adaptive Software Development (ASD) agile method to business intelligence systems. The ASD-BI methodology's main characteristics are adaptive to environment changes, enhance knowledge capturing and sharing, and help in implementing and achieving an organization's strategy. The focus of the chapter is to demonstrate how agile methods would enhance the integration of data mining in business intelligence systems. The chapter presents ASD-BI main characteristics and provides two case studies, one on higher education and the other on (Bibliomining). The main result of the chapter is that applying agile methodologies for integrating business intelligence and data mining systems would increase transfer of tacit knowledge and raise the strategic dimension of using the knowledge discovery process.

Suggested Model for Business Intelligence in Higher Education

Data Mining ◽  
2013 ◽  
pp. 550-566 ◽  
Author(s):  
Zaidoun Alzoabi ◽  
Faek Diko ◽  
Saiid Hanna
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business Intelligence ◽  
University Management ◽  
Suggested Model ◽  
Business Decision ◽  
Data Mining Approach ◽  
Input Processing ◽  
The University

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

The role of business intelligence in sustainability reporting for South African higher education institutions

2018 ◽  
Vol 19 (7) ◽  
pp. 1185-1203 ◽  
Author(s):  
Andre Calitz ◽  
Samual Bosire ◽  
Margaret Cullen
Keyword(s):  
Higher Education ◽  
South Africa ◽  
South African ◽  
Business Intelligence ◽  
Higher Education Institutions ◽  
Sustainability Reporting ◽  
Regulatory Compliance ◽  
Content Type ◽  
Stakeholder Satisfaction ◽  
South African Higher Education

Purpose This paper aims to show that business intelligence (BI) is a key component of a sustainability-reporting framework for higher education institutions (HEIs). Design/methodology/approach Four questionnaires were administered to Registrars and managers at 21 South African HEIs and at selected international HEIs. The data analysis entailed both descriptive and inferential statistics. Findings The study confirmed that factors such as management buy-in, the availability of BI reports and the provision of reporting guidelines were positively related to effective strategic planning. The study shows that the use of BI by South African HEIs is still at a low maturity level. Research limitations/implications The case study used is the Nelson Mandela University in Port Elizabeth, South Africa. The implications are relevant for all 26 HEIs in South Africa. Practical implications HEIs must invest in technological tools, including BI to provide information in understandable and usable formats for management and other relevant stakeholders. Social implications BI reporting can assist all stakeholders to obtain the relevant and required information relating to HEI operations and strategic management initiatives and activities. Originality/value The study concludes that HEIs ought to invest in BI technologies that can assist the sustainability reporting process to ensure stakeholder satisfaction and regulatory compliance.

Sign in / Sign up

Export Citation Format

Share Document