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Published by Pearson (29 July 2024) © 2024
Data-driven decision-making is now a core capability for organisations across every industry. Business Intelligence, Analytics, Data Science, and AI introduces the concepts, technologies, and methods that help organisations transform data into actionable insights. Designed to help learners understand the business impact of analytics and artificial intelligence, the content explores descriptive, predictive, and prescriptive analytics alongside emerging AI technologies. Through real-world examples, practical applications, and contemporary business scenarios, learners gain insight into how organisations use analytics to improve performance, support strategy, and address complex challenges.
Learners develop the knowledge required to evaluate and apply business intelligence, analytics, data science, and AI in organisational settings. Coverage spans data management, statistical modelling, visualisation, data mining, deep learning, optimisation, simulation, and AI-driven technologies, helping learners understand how different approaches support decision-making. Practical exercises, cases, and assignments reinforce learning while exposing learners to common analytics tools and techniques. The content also explores ethical, privacy, managerial, and governance considerations, preparing learners to engage with analytics and AI responsibly in professional environments.
Who It's For
Designed for one- or two-semester courses in business intelligence, data science, business analytics, and management information systems (MIS).
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