No abstract

Whenever a new technology is made available, it is worth finding possible uses in different domains. The advancement of information technologies now enables a wealth of information to be digitally collected and exploited for knowledge management and reused for further knowledge creation. Big data enables organizations to capitalize on large amounts of data by bringing together different sources of information to find trends and knowledge that are only visible with large amounts of data. This knowledge can then be applied for knowledge exploration, exploitation and decision making.

Whenever a new technology is made available, it is worth finding possible uses in different domains. The advancement of information technologies now enables a wealth of information to be digitally collected and exploited for knowledge management and reused for further knowledge creation. Big data enables organizations to capitalize on large amounts of data by bringing together different sources of information to find trends and knowledge that are only visible with large amounts of data. This knowledge can then be applied for knowledge exploration, exploitation and decision making.

Big data analytics enables organizations to process massive amounts of data in shorter amounts of time and with more understanding than ever before. Many uses have been found to take advantage of this tools and techniques, especially for decision making. However, little applications have been found in the first stages of innovation, namely problem definition and idea generation. This paper discusses how big data analytics can be utilized in those stages. It includes an example of application in problem definition and proposes a case study implementation in a higher education setting for idea generation.