A Review on Critical Success Factors for Big Data Projects

For an organization every year, a large amount of information is generated regarding its employees, customers, business partners, suppliers, etc. Volume, which is one of the attributes of big data, is aptly named because of the vast number of data sources and the size of data generated by these sources. Big data solutions should not only focus on the technological aspects, but also on the challenges that may occur during the project lifecycle. The main purpose of this research is to build on the current diverse literature around big data by contributing discussion on factors that influence successful big data projects. The systematic literature review adopted in this study includes relevant research regarding such critical success factors that are validated in previous studies. The study compiled these critical success factors as provided in the literature regarding big data projects. Notable success factors for big data projects were compiled from literature such as case studies, theoretical observations, or experiments.