CIS6008 – Analytics & Business Intelligence – Business Analysis Assignment Help

Assignment Task

Aim(s)
Business intelligence and analytics are the skills, processes, technologies, applications and practices used to support decision making. This module provides historical, current, and predictive views of typical analytical operations. This module covers the common data analytics and business intelligence technologies of data scrapping, data visualisations and analytics, and develops them by incorporating the areas of social network analysis. Students will be presented with the prevalent representations of business, social and other data, and draw on various methods of presentation, analysis, and applications of these data, using a variety of appropriate software tools, including open-source. Students will focus on the various ways in which different data can be collected, processed and analysed intelligently to provide business decision-making and recommendations to real world phenomenon or problems.

Learning Outcomes
On successful completion of the module, students should be able to:
– Demonstrate understanding of the leading technologies relating to business intelligence, data analysis, predictive and other analytical technologies, and be able to apply them appropriately in real world scenarios.
– Demonstrate understanding of and application of specialist technologies used to harvest, analyse and visualise business data in an intelligent way.
– Critically evaluate, design, prototype and implement business intelligence from data harvesting, processing visualisations to business analysis and storytelling
– Explore the latest visualisation techniques, business-IT project governance and related industry certifications.

Indicative Content
The following list is indicative content, and the final delivery will depend on emerging technologies and literature:
• Fundamentals of Information Systems and Business Driven Enterprise Information Systems and Business Intelligence.
• Business Strategy and Business Intelligence (BI) Strategy; Business-IT Project alignment and Governance
• Latest skills and technologies (e.g. Tableau) for Analytics and Business Intelligence with hands-on practicals, i.e. important concepts and techniques in Tableau to move from simple to complex visualisations with intelligent and interactive dashboards.
• Specialist APIs for social data scrapping and analytics (e.g. various third-party scrapping tools, Facebook/ Twitter APIs, Tableau’s Statistical analysis and etc.) for business intelligence.
• Awareness in Industrial certifications for business intelligence and governance, e.g. Tableau, SAS, SAP and IBM Cognos.
• Key concepts and principles in Social Media Mining, Information Diffusion and Social Influence for business intelligence.
• Future Trends in Business Intelligence and Analytics: Robotics, IoT and Sensors for Business Intelligence and Analytics.