Big data analytics implementation for value discovery: a systematic literature review

• Main Authors: Adrian, Cecilia, Sidi, Fatimah, Abdullah, Rusli, Ishak, Iskandar, Affendey, Lilly Suriani, A. Jabar, Marzanah
• Format: Article
• Language: English
• Published: Little Lion Scientific R&D 2016
• Online Access: http://psasir.upm.edu.my/id/eprint/55196/1/Big%20data%20analytics%20implementation%20for%20value%20discovery%20a%20systematic%20literature%20review.pdf; http://psasir.upm.edu.my/id/eprint/55196/; http://www.jatit.org

The growing number of big data technologies and analytic solutions has been developed to support the requirement of big data implementation. The capability of analyzing big data becomes critical issues in the big data implementation because the traditional analytics tools are no longer suitable to process and analyze the massive amount and different types of data. In the recent years, technological issues and challenges on big data adoptions have been actively conducted globally. However, there are still lacking of studies on how big data implementation can derive and discover values for better decision making. The intent of this review is to investigate the capability components for Big Data Analytics (BDA) implementation towards value discovery. Based on this investigation, it was found that the capability components that may impact value discovery is formulating big data framework that includes the enabler technology and processing and using sufficient analytic techniques for analysing big data.