Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    How can we help?

    Contact Us

    Find Employees

    University of Skövde, link to startpage
    University of Skövde, link to startpage
    Close

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Business Intelligence and Data-Driven Organizations

      Becoming a data-driven organization is a goal for many organizations. There are numerous examples in the literature of data-driven organizations being more successful than organizations that mostly make decisions based on gut feeling.

      This course addresses what is meant by a data-driven organization and how it relates to business intelligence. The course also has a practical part where the participants reflect on what obstacles and opportunities exist in their own business to become data-driven.

      What is a data-driven organization?

      The course consists of a theoretical part and a practical part. The theoretical part contains an introduction to the field of data-driven organizations and their relationship to business intelligence. The practical part of the course examines what obstacles and opportunities exist in the student’s own business to become data-driven.

      Who is the course for?

      The course targets professionals who are interested in learning more about what is meant by data-driven organizations.

      After completed course you will be able to:

      • Explain what is meant by data-driven organizations and its relationship with the business intelligence.

      • Reflect on what obstacles and opportunities exist in your own organization for becoming data-driven.

      Entry requirements:

      The entry requirements for this course are a Bachelor’s degree of at least 180 higher education credits (equivalent to 180 ECTS)  and a minimum of 12 months of documented work experience in a relevant domain.

      If you do not fulfill the higher education requirement, you can apply to be assessed based on your work experience alone. You can use the skills description template to describe your work experience.

      Practical information:

      • Course period: Week 4 -Week 16 2020
      • Rate of study: 30%
      • Applications remain open until 2 weeks before the course starts. 
      • Course Syllabus

      Application information:

      Contact

      Senior Lecturer in Computer Science

      Published: 3/3/2020
      Edited: 3/3/2020
      Responsible: webmaster@his.se