Introduction to Business Analytics  - XFX0034

Assessment 1: Other

A range of formative devices typically in-class tests, formative feedback on summative assessments, reviews of files and folders will be used by tutors to aid learning.  The exact nature of these assessment devices is at the discretion of the module tutor.

Other

Assessment 1: In-Class Test

In-Class Test

Assessment 2: Written Assignment

Report

In this module the student will develop understanding of the ways in which business organisations collect and analyse business data, supporting the creation of Business Intelligence for effective decision-making. Students will investigate and explore analytical approaches and the value they provide to organisations. Students will learn how effective data analysis supports business strategy, business goals and organisational competitive advantage, applying them within a business context.

Huddersfield Business School

Minelli, M., Chambers, M., &amp; Dhiraj, A. (2013;2012;). Big data, big analytics: Emerging business intelligence and analytic trends for today's businesses (1st;1; ed.). John Wiley &amp; Sons
Provost, F. and Fawcett, T. (2013) Data Science for Business. Beijing: O'Reilly.
Evans, J. R. (2021). Business analytics: Methods, models, and decisions (Third, Global ed.). Pearson
Anderson, J. L., &amp; Coveyduc, J. L. (2020). Artificial Intelligence for Business: A Roadmap for Getting Started with AI. Wiley.
Santos, M. Y., &amp; Costa, C. (2020). Big data: Concepts, warehousing, and analytics (1st ed.). River Publishers. https://doi.org/10.1201/9781003337362

XFX0034 - Introduction to Business Analytics 

Introduction to Business Analytics 

Assess how to interpret data analysis results.

Support the development of organisational strategies and plans based on data analytics.

Identify and describe the different approaches to ethical decision making and the role of analytics in this process.

Use analytical techniques and methods to support organisational decision making. 

Review the importance of data analysis in supporting business decision-making.

Discuss a range of analytical principles and their potential applications in business use. 

Produce reports that clearly present information and data, using a range of interpretation and analytical processes.  