Reference no: EM133360029

Assignment: Choose a business based in the United States. The business may be fictional or based upon an actual business-but it must be of sufficient size to need data mining software for the type of business. It may be a startup or existing company but in need of data analytics to help decision-makers understand what is going on within the business. The business may have as its mission manufacturing, distribution or retailing, health care, purely service, or any combination thereof.

You will be researching and writing this paper as the newly hired data analyst, reporting to the director of analytics and strategy of the company. Your goal is to write a documented paper that can be used both by management and staff, particularly data analytic and strategy managers and business analysts, to set the tone for the careful setup and management of the company's data mining projects. You will be using all concepts and processes you have learned in this course.

Assignment Requirements

For this assignment, research and write scholarly paper in APA format (approximate body length of 6 pages), in which you include the following.

1. Describe the core processes of the company and identify how those processes are related to descriptive statistics and data mining.

2. Use a program like Microsoft Visio to model the data flow(s) related to the updated data analytics. Include the chart as an inline illustration or as an appendix to this paper.

3. Evaluate the impact of descriptive statistics and data mining in developing effective processes for decision-makers.

Identify the processes within an organization that involve the use of descriptive statistics and data mining.
Explain the issues that relate to descriptive statistics and data mining processes within an organization.
Demonstrate how using Pivot Tables and SAS can help articulate what happened and what is going-on to help decision-makers understand their environment.
4. Illustrate an example of data mining.

Identify the range of activities that might fall under the umbrella of data mining.
Research the critical success factors specific to a particular data mining activities.
Apply a specific data mining activity within context.
5. Apply legal and ethical issues to specific examples of core data processes.

Identify legal and ethical issues that affect descriptive statistics and data mining.
Describe how data bias can affect the relevance and usability of descriptive statistics and data mining.
Illustrate the impact of legal and ethical issues of descriptive business statistics and data mining that can affect a company's ability to compete on data analytics.