A Survey on Challenges Facing Artificial Intelligence Based Pattern Recognition for Business Oriented Big Data Analytics and Solutions

The digital transformation revolution is targeting all aspects of our lives. Soon, we will have almost all fields transformed from routine manual operation into digital operation releasing a massive amount of data as a result. Such big data can be either a burden to any institution or a gold mine depending on how any institution approaches its output data. Big Data analytics is considered the fruit of digital transformation providing insights with decision support to decision makers to direct the institution toward efficiency to achieve their business goals. Applying big data analytics on raw data is considered un efficient with insignificant outcome. Applying artificial intelligence techniques for pattern recognition before big data analytics makes it more efficient with significant outcome. Clustering based pattern recognition can be considered one of the most efficient pattern recognition support techniques for big data analytics. In this paper, we will review previous work done in this field from critical point of view while proposing possible future trends or extended research areas to achieve better business-oriented data analytics to enhance business oriented institutional decision support.