GRA 4149 Value Added Analytics

GRA 4149 Value Added Analytics

Course code: 
GRA 4149
Department: 
Accounting, Auditing and Business Analytics
Credits: 
6
Program of study: 
Master of Science in Business Analytics
Course coordinator: 
Pål Berthling-Hansen
Product category: 
Master
Portfolio: 
MSc in Business Analytics
Semester: 
2020 Spring
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

This course will focus on the value of analytics from two perspectives. First it will cover the financial implications of conducting business analytics and focus on where there is value to be generated. Secondly it will use the "Analytics Lifecycle" and focus on developing an analytics culture. With the vast increase in available data for analysis, it is easy to lose focus on what actually drives business value. Although business analytics may improve the understanding of business phenomena and even improve decision making, but at the end of the day does it generate value, either to shareholders or the society at large.

Students will use the theory and models discussed in the course and write up several case reports from previous and new analytics problems they have encountered in order to analyse the financial value and implementation issues.

Before an analysis takes place, what are the financial metrics relevant to evaluate. How will the outcome of the analytics flow through to the profit and loss statement of the company?

 

Learning outcomes - Knowledge

After having completed this course, students will learn more about the implementation aspects of an analytics problem and also the relevant models to analyse the financial aspects.

Learning what a business case should consist of and what international companies do in this respect is also part of the course.

Learning outcomes - Skills

Students will obtain specific skills in utilising the "Analytics Lifecycle" for implementation and evaluation.

Students will also learn the skill of documenting an analytics project in the form of a business case to focus on sustainable profitability.

Specifically, students will learn how to estimate revenue and costs for analytics projects and also how to evaluate the risk and to calculate the value. An important part is building a business case to underpin the relevant choices, as this has become a typical structure larger, international corporations use.

 

General Competence

Without any value, analytics is just data. Reflecting on who the analytics project generates value for will is an important part of any business analytics or digital initiative. The students will learn how to reflect around an analytics decision and to determine what is meant by value-added. Critically evaluating value to owners and other interested parties is important knowledge. Critically evaluating the data used is also an important aspect of value added analytics. 

Course content
  • Analytics Lifecycle
  • Learning the structure of a business case
  • Developing a Business Case for analytics projects
  • What is meant by the term value
  • Sequential model for value based decision making
  • Quantifying risk
  • Valuing flexibility in decisions
  • Business case formats in international companies
  • Implementation issues of business analytics
  • Evaluation of analytics projects for future learning
Teaching and learning activities

As the course is delivered online, students are expected to participate actively through the digital tools provided. Students will be provided with cases and also use cases from their own experience throughout the masters degree and write up business cases using the Analytics Lifecycle model.

Relevant digital tools previously used will be required.

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

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Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA41491
Grading scale:
ECTS
Grading rules:
Internal and external examiner
Resit:
Examination when next scheduled course
40No2 Week(s)Individual
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA41492
Grading scale:
ECTS
Grading rules:
Internal and external examiner
Resit:
Examination when next scheduled course
60No2 Week(s)Individual
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:40
Invigilation:No
Grouping (size):Individual
Duration:2 Week(s)
Comment:
Exam code: GRA41491
Grading scale:ECTS
Resit:Examination when next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:60
Invigilation:No
Grouping (size):Individual
Duration:2 Week(s)
Comment:
Exam code: GRA41492
Grading scale:ECTS
Resit:Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Sum workload: 
0

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.