Business Intelligence, Analytics And Big Data

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Business Intelligence, Analytics, and Big Data
Figure 1 summarizes my understanding of the relationship between Business Intelligence (BI), Business Analytics (BA), and Big Data. At center of the figure is the data used by analytics to generate business intelligence so that companies can make business decisions that is based on strong foundation of data analysis.
Business Intelligence (BI)
Howard Dresner of the Garner Group introduced the term “Business Intelligence” in 1989 and defined it as, “a set of concepts and methods to improve business decision making by using fact-based support systems (Debortoli et al, 2014), thus it is an all-encompassing field that uses analytics to process big data. BI is driven by data. It includes data generation and analysis that businesses need to make an informed decision. Additionally, BI is not strictly technological, since it relies on processes and methods (Junk, 2015)
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Horton Inc. is the number one homebuilder in the USA according to the 2015 Professional Builder’s annual Housing Giants list; the list ranks the builders by revenue and includes the 277 of the country’s largest builders (2015 Housing Giants). To keep their ranking and gain more customers, D.R. Horton can employ big data to better understand future development communities, select the right homebuyer – one who is able to make the mortgage payment, empower their sales agent with real-time buyer data, and understand the housing market (O’Brien, 2014).
When you are craving for a Green Taco, sitting at the couch in your new home while you are watching Hillary Clinton’s campaign ad, remember that all could be because you browsed a couple of food website and maybe spent a minute or two watching a homebuilder show on TV. The world of business intelligence is changing as the Analytics, intelligence tools, and computing power increases. Companies should leverage these capabilities to differentiate them for the rest of their

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