A Review of Big Data Analytics for Organizational Business Intelligence

The phrase "big data" was considered the big buzzword of 2013. Big data (BD) can be described as real-time information, media data in nontraditional form, IT-driven data, social media, and huge volume data [1].The "5 Vs" that characterize it (volume, velocity, veracity, value, and variety) are responsible for the fact that it exceeds an organization?s own data as well as its storage or computes capacity for accurate and timely decision-making [2], [3]. Big data insinuate different aspects of everyday life (personal or professional) which is available in a digital form, e.g., personal or company profiles, social network, blog postings, buying histories, or health records. Nowadays, tools and techniques referred to as Big Data Analytics (BDA) are available for evaluating and analyzing all that data. Organizations have started to realize the massive effects of big data analytics on business and how it can positively impact commerce, advertising, and business intelligence (BI). Although there has been a noticeable growth in research on big data analytics, however, its capabilities and how organizations can realize its benefits completely are not well studied [4]. As an effort in this field, this study provides a review on Big data analytics for organizational business intelligence, its benefits, and challenges.