One of the key issues involved with big data, predictive analytics, and data mining is that of governance. With the plethora of information available to data analysts, companies are honing their skills at profiling potential customers. Piecemealing the vast amounts of data available can help identify groups of people and their behavior accurately. What is your role as a data scientist in balancing personal privacy versus public good or company benefit? In this discussion, formulate a biblical perspective of the responsibility of rightly protecting the people represented by the data used to determine "faint patterns of relationship" (Nisbet, Miner, & Yale, 2018, p. 22) against the use of that same data for some stated purpose or goal. "Data mining: The use of machine-learning algorithms to find faint patterns of relationship between data elements in large, noisy, and messy data sets, which can lead to actions to increase benefit in some form (diagnosis, profit, detection, etc.)" (Nisbet, Miner, & Yale, 2018, p. 22).

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