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Cis 500 - the New Frontier-Data Analytics

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The New Frontier: Data Analytics
CIS 500: Information Systems For Decision-Making

Anywhere we travel on the internet we have been bombarded with seemingly codependent requests to, “Like US!”, “Follow US!”, “Watch US!”, “Share US!” from businesses of all types. If you think about it, this is exactly the dynamic. Businesses are in a dependent relationship, relying on the consumers for their survival. If a business wants to engage and remain in a viable relationship, it has to have a product/service the consumer desires and be able to deliver it in a manner that the consumer perceives as valuable. Even if a business has the “next greatest thing”, the consumer will not engage/continue in the relationship if the business does not or cannot provide it in a valuable way to the consumer. Amazon is one company that has been able to successfully develop this dynamic relationship.
So then how does a business become and remain successful in the relationship? They need a better understanding of what the consumer wants by improving their Business
Intelligence (BI). For decades, businesses have used statistics to analyze data to obtain information and insights for improving BI. With the advent of the computer, data analysis moved from statistical based inferences about the data to a more scientific method based on empirical results. This was the foundational begins of Data Analytics. Data Analytics, as defined in our course text is, specialized software, capabilities, and components all geared toward exploring huge volumes of data to provide greater insight and intelligence (Turban, 12/2012, p. 6). In the late 1980’s, computing capabilities had increased as well as BI demands for higher quality information, which lead to more integrated and robust applications, using data warehouses to process data. By the early part of the 1990’s, business data increased

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