UCL School of Management

Module Fact Sheet

MSIN0006: Information Management for Business Intelligence

Taught by
Level
First
Prerequisites
None
Eligibility
Year 1 IMB and Year 1 SAMB students only.
Terms
1
Delivery method
10 x 2-hour lectures and 10 x 2-hour workshops
Assessment
Group multimedia presentation 20%; Written report 30%; Individual 2-hour unseen final examination 50%

Current students should refer to Moodle for specific details of the current year’s assessment.
Previous Module Code
MSIN1007

Course overview

The module aims to equip students with an understanding of what data is, why and how it is converted into information and used as business intelligence to drive business strategy and business decision making. The module will cover sources of data, how that data is managed and cleansed to provide the basis for business intelligence. It will cover traditional sources of business intelligence as well as Big Data, Open Data and Business Intelligence in the Cloud. Students will use commercial tools for discovery and visualization of data and will gain an appreciation of the ethical and legal issues around data privacy.

Learning outcomes

Upon successful completion of the module, a student will be able to:

  • Identify and analyse critical business information;
  • Understand how to integrate company data with data from the Internet to derive insights
  • Research International Standards, legislation, policies and procedures for managing business information;
  • Apply techniques, technologies, processes, and applications to identify, extract and analyse internal business data, information and processes for effective decision-making and strategic, tactical, and operational insights;
  • Manage data-gathering and information generation processes;
  • Evaluate and select appropriate approaches to conducting a business intelligence project.
  • Understand how companies and startups are using data to drive business decisions and innovation

Topics covered

  • Why businesses need BI
  • Data and Information Architecture
  • Data Warehouses/Data Marts/Data Lakes/Open Data
  • Data Modelling, Data Integration and Metadata; Data Quality
  • BI Applications and Data Visualization
  • Big Data Analytics as applied in a commercial setting
  • Information Security
  • Information Governance
  • Technology platforms and BI tools
  • Ethical use of data and analytics, ethical and legal aspects of data privacy
  • Managing a BI Project

Assessment summary

50% is awarded on the basis of examination result of an unseen 2-hour paper in the Summer Term. 50% is awarded for two pieces of coursework (one individual coursework and the other group coursework).

Essential reading

Business Intelligence Guidebook – Rick Sherman, published by Morgan Kaufmann, ISBN; 978-0-12-411461-6

Past versions of this module

MSIN1007 17/18

MSIN1007 16/17

Last updated Tuesday, 14 August 2018