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Aims/Description: Many organisations are making use of data, analytics, and new technologies (e.g., Artificial Intelligence, cloud computing, Internet of Things, and Big Data) to drive digital transformation and become more 'data-driven'. Data science (and increasingly AI methods) can be applied in many ways within organisations and used for activities including business intelligence, data mining, predictive modelling and automation. A key use of data and analytics is to improve the outcomes (speed, accuracy, and relevance) for all types of decisions, from operational to strategic. The use of data science and more advanced techniques allows organisations to respond rapidly to changing requirements and contexts. In particular, the combination of predictive and prescriptive methods allows organisations to tackle complex problems, such as forecasting and simulating outcomes, that may assist with more informed and evidence-based decision making. This module will help students to understand the organisational and business contexts in which data and data science can be used to support digital transformation. This includes the people, cultures, processes, and technologies that are needed to become an effective data-driven organisation. As well as considering the opportunities and benefits of using data and analytics, this module will also consider some of the common barriers faced by organisations in adopting such approaches. Students will also learn about the importance of data leadership to drive concrete actions and the need for a clear data strategy to guide and drive organisations to use and manage data effectively and achieve their specific business goals. The content in this module will be organised around three main themes: - Organisations, the business context and the desire (and increasingly need) to be data-driven - Building the capabilities of a data-driven organisation (i.e., what a data-driven organisation looks like) - The adoption of data and analytics, and developing maturity (i.e., how to create and grow as a data-driven organisation).
Information on the department responsible for this unit (Information School):
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