CRITICAL SUCCESS FACTORS IN BIG DATA PROJECTS

The amount of data grows exponentially every year. Organisations are aware of the wealth contained in this data and continue to make greater investments into Big Data technologies as a result. Such investments are intensive in terms of the time required and financing involved, and often do not achieve the expected results. Many Big Data projects result in failure when the project itself is not finished or is completed with significant deficiencies. The root cause of such a high level of failure remains unclear. A large number of critical success factors have been defined for Big Data projects, but these have failed to increase the success rate substantially. The purpose of this paper is to identify those key critical success factors that currently exist and that may be considered critical and not just important. The research is carried out through a questionnaire survey and semi-structured interviews with respondents who have many years of Big Data experience. A total of five basic critical success factors for Big Data projects were identified.