Study Guide

Learning outcomes

Learning outcomes
The student is able to
- Produce exact and predictive information for varied business purposes
describe the integration of data analytics into business processes
- Develop an analytics plan and describe the integration of data analytics into business processes
- Prepare a data analytics development plan for the company

Implementation and methods of teaching

Lectures, exercises and assignment

Contents

* Integration of data analytics into business processes
* Needs of Business Information and Data Sources
* Data processing and visualization

Additional information for students: previous knowledge etc.

Basics of Business

Assessment criteria

Excercises and assignment

Assessment scale

1-5

Failed (0)

Student has not achieved the objectives of the course sufficiently.

Assessment criteria: level 1 (assessment scale 1–5)

Student has achieved the objectives of the course sufficiently. Student understands the meaning of data analytics in business processes, and is able to form a visualization of data sources and data transferring in business processes.

Assessment criteria: level 3 (assessment scale 1–5)

Student has achieved the objectives of the course in a good manner.
Student understands the meaning of data analytics in business processes, and is able to form a visualization of data sources and data transferring in business processes. Student is able to participate to designing the data-analytics process plan.

Assessment criteria: level 5 (assessment scale 1–5)

Student has achieved the objectives of the course in an excellent manner. Student understands the meaning of data analytics in business processes and value of it. Student is able to form a visualization of data sources and data transferring in business processes. Student is able to choose valuable methods, and can design a data-analytics process plan.