Organisations use business intelligence (BI) techniques to enhance decision-making, improve or re-engineer business processes, cut costs and identify new business opportunities. Typically, BI mainly refers to computer-based techniques used to identify, extract and analyse business data to support superior business decision-making. Business intelligence includes set of applications to collect, store and analyse raw data to enable managers to make sound decisions in a business enterprise.
BI is a growing discipline that includes several activities related to decision-making such as querying, data mining, online analytical processing, forecasting, benchmarking and predictive analytics, to name a few. Business intelligence is an umbrella term that refers to the technologies that support better management of an enterprise through informed decision-making. BI is not just reporting. It offers an analytical, predictive view of an organisation using its enterprise architecture platform to allow managers to compete and survive in the modern business environment.
It’s only recently that organisations have started to include business intelligence as an integral part of their mission and to devise BI strategies at the enterprise-wide level. As a result, there is a great demand for research focused on the use and application of BI techniques that go beyond traditional reporting and modelling tools.
This special issue addresses the latest research in the area of business intelligence to benefit researchers and managers alike by publishing any efforts to
- illustrate new trends in BI applications that go far beyond traditional decision support applications
- support better decision-making that involves more than reporting or sets of tools to glean data from corporate databases to incorporate business analytics.
We welcome theoretical and empirical papers, and interesting case studies that are within the scope of the issue. The issue will contain invited papers and papers submitted directly as per the instructions below. If the number of accepted papers is more than that needed for the special issue, some papers will appear in a regular issue of IJDATS.
Topics of interest include but are not limited to:
- Artificial intelligence applications to business decision-making, such as neural networks, genetic algorithms, fuzzy systems and swarm intelligence
- Data mining
- Enterprise performance management
- Knowledge discovery and management systems
- Online analytical processing
- Predictive analysis
- Text mining
Submission due date of full paper: 31 July, 2012
Feedback from referees: 5 September, 2012
Submission due date of revised paper: 30 September, 2012
Notification of acceptance: 1 November, 2012
Submission of final revised paper: 25 November, 2012