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 2020-21 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   10

       14

 24
Timetable (if known)              
Private Study 126
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  -3000 words    100       

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

Hybrid delivery, with social distancing on campus.

Online asynchronous learning materials x 14 hours

Face-to-face seminars x 10 hours

Self-directed learning x 126 hours
Preparation, searching the academic literature, wider reading, reviewing lecture material, note taking and assessment preparation.

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.