Abstract:
In recent years, the world has witnessed a growth in electronic data resulting from advancement
in computing technologies. Making sense out of this data has evolved from decision support, to
executive support, to online analytical processing, to business intelligence, to analytics and now
to big data. As a result, researchers are getting interested to study approaches, uses and
challenges associated with this emergence of big data. This survey reviews the literature, on big
data in aspects of strategic use, predictive analytics, visual challenges, security challenges and
paralysis by analysis. The paper concludes that there is lots of data to analyse and it is perfect
to get as much information, knowledge and understanding from the data but it is vital that one
seriously reviews the supposed reality against the model and the model against the supposed
reality.