1. Depth of research to illustrate the BI application chosen
2. Quality of reference provided
3. Quality of overall team presentation
4. Quality of report writing.
Make sure your follow formal report structure with cover page, introduction, use of headings, subheadings, conclusion sand reference section.
Some possible topics to consider are:
• Contemporary decision support systems for the integration and exploitation of data analytics, data mining, big data, business intelligence, quantitative analysis and decision analytics
• Contemporary information technology for comprehensive development and deployment of analytical models for decision making, like inductive databases, in-memory databases or parallel hardware architectures and the like
• New paradigms for data and business analytics
• Analytical modelling for business intelligence and decision support
• Platform for data analytics, data mining, big data, business intelligence and decision support system
• Ethical use of data in emerging big data environment
• Using data analytics for business innovation
• Visual analytics, visualization and usability research for business intelligence
• Data and business analytics in the cloud
• Emerging technology for real-time analytics
• Knowledge-driven analytics: application of emerging technologies such as text mining, data mining, rule-based systems, semantic web technologies, or in-memory databases to address specific decision support needs
• Mobile technologies for decisions analytics and support
• Social network analysis for decision support
• Collaborative decision analytics and support