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Business Analysis

Faculty of Interdisciplinary StudiesDepartment of Data Science and Analytics
CreditsN/A
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Semester offeredSemester 1 (Fall)
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Last updated7 months ago

Description

After completing this course, the student is able to: Part I apply methods and techniques relevant in the different stages of buiness analysis, including techniques for planning and monitoring model, optimize and improve business processes, rules and data in a business context by applying methods and techniques of business process/rule/data modeling and management analyze information problems in a professional manner and design solutions with attention to professional ethics (correctness, reliability) design in an independent and critical way an innovative solution for a relevant information problem in an organization Part II understand how to use control-flow and resource constructs to model business processes, using different notations such as Petri nets, BPMN, EPCs, etc. translate process descriptions into process models using business process modelling software understand the essential concepts of process verification and validation analyse process using both qualitative and quantitative techniques understand which factors are important to improve and automate processes identify and argue about process improvements understand the workings of process mining techniques and how these can be used to analyse processes, including process discovery, compliance and performance analysis analyse process data using process mining techniques understand how business process management can be leveraged to enhance organizational sustainability, and will be able to evaluate and redesign processes to align with ethical standards, environmental goals, and social responsibility.

Course outline
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