Predictive Analytics : The Use Of Data Science For Audience Profiling Essay

Links available on the National Kidney Foundation Website keep the reader on the site and frequently take them back to the donation page. The Website provides a section for “Professional” users, however, the majority of the area is again written for the general public. One area reviewed provides an “Education and Research” option that takes the professional reader to more technical writing sources contained within the National Kidney Foundation Website. The Merck Manual links allow the reade

Over the course of my observations of McComas Gym’s weight room, it was easy to figure out what type of audience would be interested in my essay. Based off this audience, I developed a persona who represents the weight room community by combining many of the characteristics I observed in individuals in the weight room. My developed persona is an ideal representative of an “insider” to the weight room community, as well as a representative of my essay’s audience.

“Predictive analytics uses technology to predict the future and influence it.” [27] It is predominantly being used to improve business processes, which is a great opportunity for entrepreneurs to achieve positive business outcomes [26]. The goal of this white paper is to discuss the impact of predictive analytics in today’s world and the various concerns that come along with it. The paper addresses key research questions like what are the legal and ethical concerns that rise from predictive analytics? And where can we use predictive analytics to get positive results? We have tried to analyze the current market situation in order to answer these questions, focusing on the key areas where predictive analytics has had positive and negative impact. After intense scrutiny of the facts and details encountered by us, we have come up with some recommendations and solutions to address the issues caused by the use of predictive analytics and how their effects can be balanced by organizations.

The team of business analysts come from various backgrounds. Business analytics will be used to gather data. This data will include, demographics,

A form of predicting near future events based on available data, statistical analysis, and artificial intelligence.

It has recently come to my attention that Target Co. utilizes data mining to extract a wide spectrum of information about its customers by accumulating, analyzing and storing data about customer purchases. While I understand that this practice enables Target Co. to simultaneously deliver individually targeted advertisements across its diverse customer groupings, thereby increasing the potential for sales and improving customer retention, I also understand that large amounts of data unearthed by data mining can be manipulated to uncover hidden purchasing patterns to predict and shape future purchase decisions. Therefore, although there are significant benefits to using data mining, there are also serious costs associated with data mining that

A fundamental transformation is being observed in the field of healthcare industry as it moved from volume based business to value based business. With increasing demands from consumers for better healthcare quality, plans and increased care, healthcare providers are expected to provide better outcomes. The cost dynamics of health care industry is changing globally, which is driven mainly by longer life expectancy, pervasiveness of chronic illness and infectious disease. New market entrants, new medical approaches have made the things more complicated. All these challenges in the industry open the way for analytics work to expand more. Here in this document, we would like to mainly focus on the following aspects to understand the use of analytics in day to day industry operations.

The ability to compete on analytics is made possible by certain qualities some companies possess which allows them to collect and use immense amounts of data in a way that differentiates the success and practices of those companies amongst any other businesses. Davenport and Harris (2007) define analytics as “extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions” (p. 7). Therefore, to be able to compete on analytics, a firm must not only use the data to extrapolate and execute strategies and models in order to drive business, but also to use that data better and smarter than their competitors. This requires forward thinking and continual developments of current analyses and practices. With regard to Davenport and Harris’s criteria and concepts on the ability to compete on analytics, Old Navy LLC’s practices will be analyzed to find whether the company is able to compete, is a competitor, and how it competes, if at all.

For many years, advertisers had tried to find out an efficient way to understand their target markets and the customers. Before the age of information system, it was difficult to track their customers efficiently, and therefore they were like swimming in the dark when they dealt with the customers. They could only make the very broad target customers and send them advertisements through newspapers, television, magazines, or other media. However, this traditional method of sending advertisements to everybody that the companies could reach was not working well, since it ignored the demands of the receivers. However, along with data mining, it brings a business revolution to the whole world.

A company’s future is never certain. Any number of outcomes may take place that either further or ends a company. Marketers must learn as much as possible about customers, prospects and its surroundings. Research and information give insight that fuels innovations, strategic planning, and forecasting. Marketers can use several types of sources to gather information

The fear of surviving in this ever demanding global economy and markets has led some firms and companies using analytics in an unethical way. One example is how IFA one of the largest sellers of life and health insurance in United States bought customer data from grocery chain from Shopsense supermarket in order to earn profits and have a competitive edge over its rivals. In response to this strategy adopted by IFA , George Jones, CEO of Borders Group commented that the data which is collected from Shopsense can be misleading as people shop for an entire family. It seems that he might not be consuming the food he has in his basket maybe it is for his kids, friends. He might be shopping for someone else. I think from customers

What is the most important fundamental of communication? Some may argue that fundamental’s such as channels, tone, and bias free language would be considered the most effective when communicating, but one fundamental many overlook is that of audience analysis. Audience analysis can be the difference between a mundane communication and an appealing informative type of communication. So below I will explain why audience analysis is a key fundamental of communication due to its purpose, demographics, and psychographics.

The company that I have conducted a research on is Harrah’s Entertainment, Inc. It is a casino gaming company in America that has been in operation since many decades. The company was founded by Bill Harrah and has an annual revenue of $8.6 billion. Harrah’s has gone on to become the world’s largest gaming company by the use of analytics that has left behind its competitors by a huge margin. Their primary focus is customer loyalty which provides customer satisfaction and would make the customers want to come back again and play more games thereby increasing the overall revenue of the company. They use predictive models to predict the likes and dislikes of the customers and provide loyalty incentive programs to target certain customers.

In this audience analysis, I have addressed a situation in which I am called on to present quarterly sales information at an in-person meeting to a group of stakeholders, including managers, salespeople, and customers. I will explain how I will address the communication to this audience by answering the following questions: (1) What characteristics of the audience must I consider?, (2) What communication channels are appropriate? (3) What are some considerations to keep in mind given the diversity of the audience?, and (4)  How would I ensure that my message is effective?

Part 2. How Business Analytics can be used to gain advantage in a competitive marketplace