Business Intelligence and Analytics

2019-2020

Course Objective

Quantitative Skills
•Using business intelligence and data mining suites to create insight
from data and tackle business problems

Knowledge
•Defining, describing and recalling the basic concepts, constituent
components, principles and theories underlying the use and the
deployment of business intelligence & analytics solutions.

Bridging Theory and Practice
•Choosing, applying, and evaluating business intelligence & analytics
concepts, principles and solutions to solve business problems.

Course Content

Dealing with the overabundance of data and the ability to transform data
into insights are critical success factors for organizations. This
course offers an introduction to the tools and concepts that allow you
to unleash the power of data and business intelligence and analytics
solutions in order to
create competitive advantage. The course primarily has a managerial
focus. The students will acquire hands-on experience with well-known
BI&A technologies, and learn how to use their features and capabilities
in practice. Our partners from the industry and the business consulting
sector will be closely involved in the course, sharing their insights
and experience during several interventions.

Keywords: business intelligence, analytics, data science, data
warehousing, data mining, big data, machine learning, data-driven
decision making

Teaching Methods

Lectures
Hands-on Workshops

Method of Assessment

Final written exam (individual)
Weekly computer-based analytics quizzes (individual)
Both components are mandatory for passing the course.

Literature

This course is article based.
Readings & practice material will be announced in the course manual.

Recommended background knowledge

Recommended knowledge Elementary course on (Management) Information
Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of
MIS (12 th edition).
Knowledge of the fundamentals of statistics.

Course Introduction to Digital Innovation (SBE, Period 3.1).
BK: 2.1 Business Information Technology
IBA: 2.1 Business Information Systems

General Information

Course Code E_MM_BIA
Credits 6 EC
Period P2
Course Level 300
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator M. Shafeie Zargar
Examiner M. Shafeie Zargar
Teaching Staff dr. A.C. Smit
M. Shafeie Zargar
dr. M.G.A. Plomp

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Response class
Target audiences

This course is also available as: