Digital Business Analysis

Introduction

The course aims to learn students how to develop end-to-end solutions for data-driven analysis of business problems. Business problems can be strategic or operational. Business analysis is a data-driven problem-solving process. An end-to-end solution will assist the analysis from data capture and collection to presentation and visualization of results that are used in decision-making. These solutions include the technology building blocks for data collection and management, analysis, and visualization. It also includes the organizational aspects of data governance, the problem-solving process and decision-making.

Candidates from this programme may work in the role as the developer of these solutions, the analyst who uses the solution to solve a business problem or being involved in the decision-making process and forwarding requirements to the analytical process. 

Course content

Business Analysis

• General problem-solving and business analysis
• Business problem and task definition
• Data-driven decision-making
• Presenting a business case
• Information requirements
• Analytical techniques

From Data to Decision

• Data capture and collection 
• Data modelling and database design
• Data management and governance
• Data analysis

Presentation and Visualization 

• Principles of data visualization
• Data visualisation techniques and chart types
• Data visualization tools and libraries

Evaluation Frameworks

• Assessing a Business Case 
• Sustainability Awareness Framework (SusAF)
• Corporate Digital Responsibility 
• The Ethical Navigation Wheel