Learning about Business Intelligence - Challenges of the Visually Impaired

Scientific paper - Original scientific paper

• Author: Kornelije Rabuzin
• Author: Mario Konecki
• Author: Martina Šestak
• Author's institution: University of Zagreb; Faculty of Organization and Informatics
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract (english)

Modern business systems, especially those of middle and large size, generate a large amount of different data.This data is important for proper analysis, prediction of future trends or in other words for making various business decisions. The large amount of data that can be found in many different formats and in different technology can be stored on multiple locations that all refer to the same business system. Education about technology, such as various business organizations’business intelligence systems and data warehouses is important part of many higher education curriculums. However, since many business intelligence tools rely on various graphical representations of data they are not suitable for visually impaired students. In this paper a discussion about challenges that visually impaired students encounter when trying to learn about business intelligence is given along with directions for future research.

• Keywords (english): business intelligence; data warehouses; visually impaired; learning
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: International Journal of Advances in Science Engineering and Technology
• Numbering: vol. 4, no. 4, pp. 4-7
• p-ISSN: 2321-9009
• URN:NBN: urn:nbn:hr:211:306589
• Publication: 2016-10
• Document URL: http://iraj.in/journal/IJASEAT/paper_detail.php?paper_id=5957&name=Learning_About_Business_Intelligence_%E2%80%93_Challenges_of_the_Visually_Impaired
• Type of resource: Text
• Access conditions: Open access
• Repository: Faculty of Organization and Informatics - Digital Repository
• Created on: 2017-11-24 12:30:57