MIS41040 Bus Intell & Visual Analytics

Academic Year 2019/2020

Option.
The module aims to provide an understanding of how various types of information systems provide the information needed to gain business intelligence to support the decision making for the different levels and functions of the organization.

Topics:
● Organisational decision making, functions, and levels
● Information visualisation
● Decision support systems
● Geographic Information Systems
● Effective business visualisation
● Dashboards and Business intelligence Metrics, KPIs
● Human factors

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Curricular information is subject to change

Learning Outcomes:

On completion of the module students should be able to:
● Describe and distinguish between data-driven documents, dashboards, decision support and business intelligence systems, with examples of each
● Assess the importance of the current developments to decision making systems
● Understand the role of metrics and KPIs
● Appreciate the role of human factors in business intelligence and visualisation, including the typical ways in which visualisations can inform or mislead.
● Employ computer software to produce high-quality data visualisations

Indicative Module Content:

Organisational decision making, functions, and levels
Information visualisation
Decision support systems
Geographic Information Systems
Effective business visualisation
Dashboards and Business intelligence Metrics, KPIs
Human factors

Student Effort Type Hours
Lectures

30

Specified Learning Activities

50

Autonomous Student Learning

100

Total

180

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.  
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Practical projects Throughout the Trimester n/a Graded No

35

Examination: < Description > 2 hour End of Trimester Exam No Graded No

65


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn Yes - 2 Hour
Feedback Strategy/Strategies

• Group/class feedback, post-assessment
• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Ms Annmarie Connolly Tutor
Spring
     
Lecture Offering 1 Week(s) - 20, 21, 23, 24 Thurs 09:30 - 11:00
Lecture Offering 1 Week(s) - 22, 25, 26, 29, 30, 31, 32, 33 Thurs 09:30 - 11:00
Lecture Offering 1 Week(s) - 20, 21, 23, 24 Thurs 11:30 - 13:00
Lecture Offering 1 Week(s) - 22, 25, 26, 29, 30, 31, 32, 33 Thurs 11:30 - 13:00
Spring
     

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