ULMS Electronic Module Catalogue

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title THE STRATEGIC MANAGEMENT OF BUSINESS ANALYTICS
Code ULMS876
Coordinator Dr A Singh
Operations and Supply Chain Management
Akshit.Singh@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2022-23 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):

 

Modules for which this module is a pre-requisite:

 

Programme(s) (including Year of Study) to which this module is available on a required basis:

 

Programme(s) (including Year of Study) to which this module is available on an optional basis:

 

Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 12

12

      6

30
Timetable (if known) 120 mins X 1 totaling 12
 
120 mins X 1 totaling 12
 
      60 mins X 1 totaling 6
 
 
Private Study 120
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
             
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Individual case study report There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When): Semester 1    70       
Individual analysis of dataset using Tableau software for data visualisation. There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. A    30       

Aims

Understand the principles and role of business analytics in product and/or service organisations;

Understand the concepts of business analytics and their implications for competitive advantage;

Understand how managers use business analytics and disseminate results and the process of formulating and solving business problems and to support managerial decision making, using techniques such as pattern discovery, segmentation, clustering, market analysis, rule discovery and intuitive data display.


Learning Outcomes

(LO1) Students will be able to critically evaluate the management of business analytics;

(LO2) Students will be able to explain the role of business analytics in managerial decision making;

(LO3) Students will be able to evaluate the personal and organisational competencies necessary to deploy analytics;

(LO4) Students will be able to apply basic planning and analysis techniques to particular cases;

(LO5) Students will be able to evaluate the role of business analytics in creating and sustaining competitive advantage.

(S1) Adaptability. Engaging with case studies that present complex and ambiguous organisational problems.

(S2) Problem solving skills. Analysis of case studies to arrive at a set of proposed solutions to organisational problems.

(S3) Commercial awareness. Engaging with case studies and worked examples.

(S4) Numeracy. Analysis of quantitative data presented in case studies.

(S5) Teamwork. Team collaboration on case study analysis.

(S6) IT skills. Secondary data research, analysis of spreadsheet data, preparation of audio//visual material.


Teaching and Learning Strategies

2 hour lecture x 6 weeks
2 hour seminar x 6 weeks
1 hour group learning x 6 weeks
120 hours self-directed learning


Syllabus

 

Business analytics for competitive advantage;

Application of business analytics to support managerial decision making;

Plan, develop and evaluate methods for pattern discovery, segmentation, clustering, market based analysis and rule discovery;

The personal and organisational competencies necessary to deploy analytics;

Analytics as a core asset;

Analytics to drive strategy and organisational change.


Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.