Subject details

  • Topics
    • Concept of business value from corporate data, the exploitation of information for advantage, types and sources of information value
    • Nature and value of business intelligence, the business intelligence environment, and how types of data processing can add value
    • Knowledge discovery, data mining, data warehousing
    • Business analytics, OLAP analysis, metadata
    • Data visualisation, visualisation techniques, dashboard
    • The relationship between corporate strategy, IS strategy and business intelligence strategy
    • BI links to enterprise systems, Customer Relationships Management, Supply Chain Management, Structured & unstructured data, content management systems
    • Privacy, ethical, legal issues associated with BI Implementation
    • BI, Decision Support Systems, Expert Systems and Executive Information Systems
    • Data modelling, star schemas
    • Using select and complementary BI/BA tools to provide insights in decision making scenarios

Students who successfully complete this subject will be able to:

  1. Demonstrate a critical understanding of the strategic value of information, data management, and Business Intelligence to organisational decision-making activities
  2. Contextualise business problems in order to evaluate the requirements for information and data
  3. Analyse large corporate datasets using complementary Business Intelligence/Business Analytics tools to generate insights and provide alternative solutions to an organisation's complex problem
  4. Evaluate the technological, social, management, and organisational issues affecting the application and/or implementation of Business Intelligence related activities
  5. Communicate effectively as a professional and function as an effective leader or member of a diverse team.
  • Assignment 1 - Portfolio (100%)

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a subject

Entry Requirements

You must have successfully completed the following subject(s) before starting this subject:

Special requirements

No special requirements

This subject covers issues relating to deriving intelligence from various data sources for decision making purposes. Students gather skills to drive improved decision making process for senior management based on understanding data. Students will know the importance of understanding the short and long term goals of the organisation and how these impact the decision making process. Student will use tools that enable data analysis, predictive analytics, data visualisation to assist in the delivery of delivering real-time actionable intelligence.

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