The module aims to equip students with an understanding of why and how data 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 tools for discovery and visualization of data.
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.
- Why businesses need BI
- Data and Information Architecture
- Data Warehouses/Marts/Lakes
- Data Modelling, Data Integration and Metadata
- Data Visualization
- Big Data Analytics
- Information Governance
- Data quality
- Technology platforms
- Ethical use of data and analytics, Security and Privacy
- Managing a BI Project
50% is awarded on the basis of your examination result of an unseen 2-hour paper in the Summer Term. 50% is awarded for two pieces of coursework.
Business Intelligence Guidebook – Rick Sherman, published by Morgan Kaufmann, ISBN; 978-0-12-411461-6
Successful Business Intelligence, Second Edition: Unlock the Value of BI & Big Data – Cindi Howson, published by McGraw Hill, ISBN: 978-0-07-180918-4