UC3BIN10 Business Intelligence
UC3BIN10 Business Intelligence
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyDigital Assurance and Security Management
- ECTS10
- CampusOnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course LeaderProf. Reinhardt Botha
Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.
Included in the following bachelor's degrees:
- Digital Assurance and Security Management
This course aims to introduce students to the technologies, applications, and practices related to the collection, integration, analysis, and presentation of business information, facilitating data-driven decision-making. Students gain knowledge of common Business Intelligence (BI) systems, distinctions between Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems, relevant technological architectures, business metrics for decision-making, and principles of data presentation and visualization. They develop skills in critical evaluation and comparison of BI tools, gathering user reporting requirements and creating reports to meet data-driven decision-making needs, and presenting complex data using appropriate visualization tools and methodologies. The course also promotes competence in working with and interpreting numerical data within an organizational context and effectively communicating relevant trends to business end-users.
The student has knowledge of
| K1 | the concepts and components of common Business Intelligence (BI) systems. |
|---|---|
| K2 | the differences between Online Transaction Processing Systems and Online Analytical Processing (OLAP) Systems. |
| K3 | technological architectures relevant to support BI. |
| K4 | common business metrics used to support decision making. |
| K5 | principles of data presentation and visualisation. |
The student gain skills in
| S1 | critical evaluation and compare Business Intelligence tools. |
|---|---|
| S2 | gathering user reporting requirements and create reports that address data-driven decision-making needs. |
| S3 | presenting complex data using appropriate visualisation tools and methodologies. |
The student can demonstrate
| G1 | working with, and interpreting, numerical data within an organizational context. |
|---|---|
| G2 | communicating relevant trends with business end-users. |
- Overview of Business Intelligence
- OLAP vs OTP • Non-traditional data sources
- Data Presentation
- Drill-up, drill-down, drill across
- Decision-making Theory
- The BI Process
- KPIs and User Segmentation
- Information gathering & ETL Processes
- Content Management
- Knowledge Management
- Social media, big data and data mining, working with real-time data
- Legal and Ethical considerations
- Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
- All activities require active student participation in their own learning.
- Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
- Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
- Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
- Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
- Students working on their own laptop/computer are required to acquire appropriate communications software; e.g., webcam, microphone, headphones.
UC1BAN10 Business Analytics, and UC1IBP10 Introduction to Business Processes, and UC2IAR10 IT Architecture, or equivalent course(s).
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 33 |
Teacher-supported work | 48 |
Self-study | 169 |