Busi­ness In­tel­li­gence

About

This course is designed for graduate students in business disciplines such as information systems, marketing, operations management and analytics. A completed bachelor’s degree or equivalent is required. No prior knowledge of mathematics or programming is necessary, although students with basic mathematical or analytical skills are preferred.

Business intelligence refers to the technologies, applications and practices used to collect, integrate, analyse and present business data in support of decision-making. This course develops students’ analytical skills for business decision-making and evaluation, combining lectures and workshops with a strong emphasis on practical application. Students make extensive use of R and its widely adopted packages, including tidyverse, tidymodels and tidytext.

Learning objectives
By the end of this course students will be able to:

Explain the key concepts of business intelligence and the role of data-driven decision-making in business and society.

Identify and critically assess different types of analytics, data sources, and formats relevant for business challenges.

Process, summarize, and visualize business data using appropriate analytical tools and methods, while communicating insights effectively.

Apply a wide range of quantitative and machine learning methods to address complex business problems, balancing competitiveness with responsibility.

Evaluate and select suitable analytical approaches for specific business contexts.

Critically assess the ethical and societal implications of applying business intelligence in business and societal contexts

Course leader

Raghava Rao Mukkamala - Department of Digitalisation (DIGI)

Target group

This is a graduate level course. CBS Summer University courses at Copenhagen Business School is open to all and welcomes domestic and international students as well as professionals

Fee info