Data Mining Of Personal Data

Be sure to provide a detailed explanation of relational databases along with their associated business advantages.

These extremely large data sets may be analyzed computationally to reveal patterns, trends, and associations relating to human behavior and interaction. These analysesaffect us on day to day basis positively and negatively and the legality of how this information is collected and the laws that apply may be unclear. Both with or without users' knowledge, consumer personal data is collected from every daily, digital activity; from purchases, web searches, amazon searches, browsing history, and phone use. This data is generated, and then downloaded and stored. [15] Companies can then use this data to create "data sets" or large files of users' data to produce customer profiling. This data can also be used by police, the governmental bodies, scientists, businesses, military, and other industries where occasional breaches of data are expected .[16] Breaches and leaks of personal information including phone calls, credit card information, home address, and personal phone numbers are examples of information that is logged and stored by these corporations while making "data sets". Much of this information is being processed and sold to marketers for the purpose of marketing their products. This information is stored digitally and in some cases, regardless of the security of the information being stored, there are risks of unauthorized parties

The lab begins with a simple example of query development using Access; then, evolves to more complex queries which the student should perform after completing the first exercise. The student can create a query with the wizard, with query design view, or with SQL statements. The Northwind database will be used again in this lab.

How far is too far when it comes to privacy? In a rapidly developing digital age, the boundaries are constantly expanding as new technology emerges. Data mining is not going away, so the debate on privacy becomes increasingly relevant. The line between what is ethical and unethical quickly become blurred, and certain entities are bound to take advantage of that gray area. Corporations claim they are collecting private data for marketing research to serve more relevant advertising and increase profits. Despite the marketing benefits of digital data collection, it is unethical for corporations to collect private digital data without taking proper measures to protect privacy.

Query by Example (QBE) and Structured Query Language (SQL) are industry standard languages for querying data to obtain information from relational database systems.

Recently, my work has been adjusting to the recent buy out of my company and I have been working with the program specialists to convert out data. This week’s information started to look familiar and then it hit me, the database management system I have been watching the programmer use was written in SQL. This information seems pretty straight forward, but we will see how well I do on the assignment this week. I also learned this week, that the way Amazon can customizes a person shopping experience is through data mining. SQL is a great way to organize information. SQL queries are excellent for sorting out and bringing up the information that is needed. Pulling up customers contact information based on a geographic location can be important if a company needs to update them on a new law that passed in the state. SQL language simplifies marketing research for marketers. As we went over the data mining example with Amazon, this is a great way to promote products. Not only does Amazon do this type of data mining but almost every other online shopping site uses data mining as well. The other day I purchased some new cleaning supplies on jet.com. when I got to the checkout link, there was a section that suggested items. Because I am new to healthier cleaning options, I clicked on these options so I could check out what other brands had to

It became an issue for consumer, and they felt uncomfortable due to companies invaded consumers privacy without their consent. Another issue regarding data mining is there no clear policies around how the company uses data once they have collected the information. After Target received negative publicity regarding its original data mining approach, they change their strategy by mixing all their ads, so it not that obvious that they were spying on them. It makes customers’ to assume that everyone else gets same coupons and ads. Data mining has given Target awareness into the relationship between product sales and online reviews. Target retailers identify guests how write reviews, examining their history of purchasing and invited to write review on their products. This program was highly successful, leading Target to obtain incremental reviews and increase sales of those key products. More importantly, data mining has empowered companies to find new opportunities for growth, make better decisions to succeed business goals and safe money. The retailer industry utilizes data mining and customer analytics to support customer decisions. Exploring how collected data can be manipulated to identify customers buying patterns and increase profitability is a growing business

Today we are doing a project report on Costco. For Sol and Robert Price in 1976 they asked friends and family to help out with an opening price of two point five millon to open Price Club on July twelfth, they open their shop in an air hanger on Boulevard in San Diego, California. They were originally going to serve only small business. Mr. Price found out that it will be more beneficial to serve select customers. Costco was founded by James Sinegal and Jeffery H. Brotman. Costco opened its doors in 1983 in Seattle, Washington. Price Club and Costco later merged and

Figure 11 shows the relationship of a database using DBMS, connecting the user with the information from the database. A database consists of many data from customers to orders, services, employees, and so on. The user can be a customer or employee. Employees use DBMS to find customer’s information, service types, and service provider information. Later in the process, the DBMS will then extract data from the database to answer the users’ questions.

The National Security Agency (NSA) has in recent years been making headlines domestically and overseas. Primarily due to leaked internal documents by a rogue analyst that would like to style himself a hero for bringing the NSAs operations to light. Many Americans were aware of the agency’s existence and purpose, but were oblivious to the fact that the agency was not only collecting information on foreign countries, but were (and still are) collecting millions of bytes of domestic data daily. Is this legal? Should the NSA be allowed to Data Mine United States citizens?

“If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that?,” asked by Andrew Pole’s colleagues. In today’s day and age of technology, data mining can be easily used to compile huge capacities of data that is validated to calculate patterns of the data from the information such as name, address, date of birth, credit card numbers, and social security numbers that people have submitted to the Internet through purchases, advertising, and profiles everyday. Although data mining seems harmless, it allows companies to gather information to improve the business by making ethical decisions; therefore, this can raise concerns with privacy and security of the person and/or their personal information that

Big data describes large scale data sets which are analyzed, using algorithms, to determine and eventually predict patterns in human behavior, interactions and the environment (oed.com). Big data is used by government entities to protect against terrorism as well as commercial entities for marketing. Big data needs ethical standards to prevent violations of four central principles, which are privacy, confidentiality, transparency, and identity (Richards 395). Big data is awareness and empowers those who control it. This revolution in information enables companies to shape consumer identity by influencing every interaction the user has with their service. Due to its predictive and persuasive nature, restrictions are necessary for consumers to

As stated above, data mining is often used to solve business decision problems, “it provides ways to quantitatively measure what business users should already know qualitatively” (Linoff, 2004). A growing number of industries are using data mining to become more competitive in their market by primarily focusing on the customers; increasing their customer relationships and increasing customer acquisition.

With the increased and widespread use of technologies, interest in data mining has increased rapidly. Companies are now utilized data mining techniques to exam their database looking for trends, relationships, and outcomes to enhance their overall operations and discover new patterns that may allow them to better serve their customers. Data mining provides numerous benefits to businesses, government, society as well as individual persons. However, like many technologies, there are negative things that caused by data mining such as invasion of privacy right. This paper tries to explore the advantages as well as the disadvantages of data mining. In addition, the ethical and global issues regarding the use of data mining

Structured Query Language, commonly referred to as SQL, is a programming language that is used to communicate with and handle databases. In order to maximize the outputs that they get from the huge amount of data collected, many companies and establishments employ IT professionals well-versed in SQL. SQL programs are adopted and used by companies in order to access and influence the data and information that is maintained in their databases, as well as for generating and modifying new tables.