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•  Big Data Analytics (BDA). BDA is the process needed to understand the mass of data to extract and generate useful information and knowledge (Chen et al., 2012). The problem with Big Data was how to mine and interpret it into valuable data, which, through interpretation and categorization, leads to more effective management (Chen et al., 2012).
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• Business intelligence has emerged as a critical area for practitioners and researchers, primarily in the areas of Big data and Big data analytics (Chen et al., 2012). We have found that BI technologies are essential to running today's businesses, and this technology is going through a sea of changes (Chaudhuri et al., 2011).
• Predictive analytics is nothing without data mining, a process going further than computer technology to reduce costs while improving customer relations (Sharada et al., 2018).
• Organizations use prescriptive analytics to make decisions using an analytical model (Sharda et al., 2018).
• How would this change one's thinking?
• How will this learning change their future behavior and approach to these topics?