The Telephone Consumer Protection Act of 1991 (TCPA) was established to protect people from the increasingly intrusive methods employed by telemarketers. Information technology advances such as auto-dialers, predictive dialers, and automated faxes made it easier to reach large numbers of businesses and households in a relatively short time. These methods were not only highly annoying to consumers, but through the use of these devices, telemarketing companies were also passing some of the cost of
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person buys or what books they read or which websites they visit is all collected and stored in databases and then sold or shared without their knowledge or permission. Armed with such innovative technological wonders as the Autodialer and other predictive dialer systems consisting of electronic devices or software that automatically dials phone numbers, telemarketing companies were able to drastically increase the number of people they were able to reach, thus maximizing the odds of contacting a
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media like Facebook and twitter analyzing conversations. Stupakevich(2011)” One can perhaps get referrals from whoever a person calls, what they talk about, and who they refer to in the conversations in Facebook or Twitter”(para6). Predictive Analytics Predictive Analytics help measure the behavior of a customer depending on what they respond to or like based on age, income and demographics Some
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IT Advances Cause Acts to Be Created Telemarketers have been interrupting individuals for ages. Telemarketers call anytime, wanting individuals to donate, vote for or against, and purchase items. In an effort to address a growing number of telephone marketing calls, Congress enacted in 1991 the Telephone Consumer Protection Act (TCPA) (FCC, 8/02). Within 11 years after the creation of the TCPA Act, the Do Not Call Implementation Act, 2003 was created. The Do Not Call Implementation Act
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Defining Recession A recession is a contraction phase of the business cycle where significant decline in economic activity lasts more than a few months, which is normally visible in real GDP, real income, employment, industrial production, and wholesale-retail sales. Global Prospective The current economic recession has hardly spared any country on earth. Rich countries like USA, UK, Germany, Australia, Japan, Canada- almost all the rich countries have got badly hurt from the recession.
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Information Technologies Acts Information Technologies Acts The two acts that have been chosen for this paper are the Do Not Call Act of 2003 and the Children’s Internet Protection Act of 2000. I chose these because these are two of the biggest issues plaguing society today. It is always an ongoing battle to find and implement ways to protect children from the ever expanding corruptness that this world is throwing at us daily. It is also a never ending battle to keep us safe from harassment
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information and subsequent knowledge from large databases, including data warehouses” (Turban, 2011). Predictive analytics serves as a benefit of data mining because it’s a process that uses machine learning to analyze data and make predictions. This can be beneficial to a business because it can be helpful in understanding the behavior of customers. A good example of this would be a business using predictive analytics to decide what level of pricing should be used in correlation with sales information
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Michael Falat, PHD Info-System Decision Making March 10, 2014 Determine the benefits of data mining to the business when employing. 1a. Determine the benefits of data mining to the business when employing predictive analytics to the understanding of the behavior of customers. Predictive analytics is area of statistical analysis that deals with extracting information from data and using it to predict future trends and behavior. (Bland-Thomas, Karen 2013) It gathers information from a variety
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Question: Give examples of how OLAP works and its Predictive Analytics INTRODUCTION On-line analytical Processing (OLAP) refers to a computer-based processing with a capability of manipulating and analyzing large volumes of data from multiple perspectives (different points of view). It is one technique you can use to transform data into information. The original system of the OLAP is also known as the multi-dimensional cube or hyper cube. For example, a user can request that data be analyzed
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relationships (data mining) * Explaining why a certain result occurred (statistical analysis, quantitative analysis) * Experimenting to test previous decisions (A/B testing, multivariate testing) * Forecasting future results (predictive modeling, predictive analytics) * FUNCTIONS OF A BUSINESS ANALYST At a high level, a Business Analyst acts as a liaison between business people who have business problems and technology people who know how to create automated solutions. A Business Analyst
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