Case Study: [Big Data nalysis] The problem is to reduce churn ratio by 5% quarte

Question

Case Study: [Big Data nalysis]

The problem is to reduce churn ratio by 5% quarterly by analyzing CDR, credit report and billing data of telecom operators to mine out churn trends of a specific region or a specific person or and age group.

Questions:

1. How do Privacy and Ethics apply to your problem?

2. What are some of the tricky issues in managing privacy?

3. Describe the difference between human and technical factors

4. How does the Menlo Report adjust the Belmont principles for “Big Data” research?

Explanation / Answer

Privacy in the Age of Big Data: A Time for Big Decisions," Omer Tene and Jules Polonetsky list some of big data's "big benefits": the analysis of vast amounts of data has enabled researchers to determine adverse side effects of drugs that may otherwise have gone unnoticed; to track (and respond to) the spread of diseases; to develop the "smart grid," which is designed to optimize energy use; to improve traffic control; etc. Other researchers are analyzing big data to gain insights into various aspects of human behavior. A particular focus of the event will be current proposals that would give the federal government access to corporate computing systems. The goal would be help thwart or capture cyber thieves who hack into private systems to steal credit card numbers and other valuable customer or employee data. But some experts are worried that opening this digital door could also give the government access to sensitive details about a company’s data management infrastructure and other proprietary information. Human factors strive to make these interactions easier, more comfortable, less frustrating and, when necessary, safer. But their purview extends beyond the everyday gadgets we need to function; they also apply the science of psychology to improve life-critical products, such as medical equipment and airline computer systems.While Influences that have an impact on how an organization operates that are related to the equipment used within the organization's environment. Due to increased reliance on equipment, technological factors currently exert a considerably more important effect on the success of a business. This environment complicates achieving ethically defensible research . . . . It results in interactions with humans that are often indirect, stemming from an increase in either logical or physical “distance” between researcher and humans . . . . The relative ease in engaging multitudes of distributed human subjects (or data about them) through intermediating systems speeds the potential for harms to arise, and extends the range of stakeholders who may be impacted

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