Essay on "Data Management, Warehousing, & Mining"
Essay 3 pages (1129 words) Sources: 3
[EXCERPT] . . . .
Management - Data Warehousing and Data MiningData Management: Data Warehousing and Data Mining
Data management is very important to any business. No matter how much data is collected, it is what is done with the data once it has been collected that can make or break an organization. Obviously the data should be kept safe, but there is more to the mining and warehousing of data than just protecting it. If data is simply collected and nothing is done with it, that data is relatively useless to the company. One of the most important issues with data management is making sure that the data mining and warehousing systems that are used in an organization do not become more trouble than they are actually worth. How can that be done in the best way possible? The answer to that question can vary greatly, depending on who is asked. Even the same researcher can make cases both for and against the warehousing of data in an organization (Greenfield, 2005a; Greenfield, 2005b).
Because it is possible to collect so much data on people today, many individuals who use the internet are being tracked more than they realize (Betancourt, 2010). When they talk with their friends over social media sites and share their likes and dislikes, tracking cookies and analytical programs are collecting that information. In most cases the information is not tied to the names of the people. It is just used in order to look for trends and see what is popular and what is not. In some cases, however, the behaviors that a person engages in online can be tracked back to that specific person. That is an important distinction, and one that most people are unclear about because they do not real
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Once the data has been "mined" from social media sites, browsers, and sites that are visited by internet users, it has to be "warehoused" (i.e. stored) somewhere. There is no physical location needed for data in the sense of papers and other documents, but there is often such a large amount of data that it must be stored on large computers that do take up space. These need to be carefully maintained. If they are large enough, they also need to be in a strongly climate-controlled environment, because they will put off enough heat that they could overheat and become damaged. There are many different ways to store and use the collected data, depending specifically on how much is being collected and the overall plan of the company that is collecting it.
Companies that do not use any kind of data warehousing and mining know very little about their customers. That is why companies must focus on accumulating data that will help them better understand their target market while cutting down on wasteful expenditures of advertising (Hadfield, 2009). Many companies are already starting to do this, and companies that are not are falling behind their competitors. If a company does not know who is buying from them and why their products or services appeal to those particular individuals, it can be hard to determine what they should do to increase sales and keep customers coming back for more. Because of that, data mining and warehousing should… READ MORE
Quoted Instructions for "Data Management, Warehousing, and Mining" Assignment:
SOURCES FOR BACKGROUND READINGS ON THE SUBJECT :
Sometimes new technology can be too much of a good thing. The case for this module deals with how not to let that happen to you. While these cases are five years old, the issues are applicable now as they discuss current issues. There are four principal short readings for this Module*****'s Case for your to look at:
Betancourt, L. How Companies are using your Social Media Data, Retrieved on July 26, 2010 from http://www.enterpriseirregulars.com/5706/the-top-10-trends-for-2010-in-analytics-business-intelligence-and-performance-management/
Greenfield, L. (2005) The Case for Data Warehousing Retrieved Retrieved on July 26, 2010 from the World Wide Web:http://www.dwinfocenter.org/casefor.html
Greenfield, L.Greenfield, L. (2005) The Case Against Data Warehousing Retrieved Retrieved on July 26, 2010 from the World Wide Web:http://www.dwinfocenter.org/against.html
Thearling, K. (2009) An Introduction to Data Mining. Retrieved July 26, 2010 from http://www.thearling.com/dmintro/dmintro_2.htm
When you*****'ve familiarized yourself with the issues, then please read the following case:
Hadfield, M. (2009) Case Study: Jaeger uses data mining to reduce losses from crime and waste Retrieved Retrieved on July 26, 2010 from http://www.computerweekly.com/Articles/2009/02/23/234953/case-study-jaeger-uses-data-mining-to-reduce-losses-from-crime-and.htm
Case assignment expectations:
Use information from the modular background readings as well as any good quality resource you can find. Please cite all sources and provide a reference list (use APA format) at the end of your paper.
LENGTH: 3-5 pages typed and double-spaced.
Your answer to the following question will be assessed:
*****"Discuss the importance of implementing data warehousing and mining system in your organization. How would you make sure that these systems don*****'t become become more trouble than they are worth?*****"
The following items will be assessed in particular:
1.Your ability to apply your understanding of complex issues involved in the case question.
2. Your support for assertions using examples, citations (use required readings), and elaboration to support assertions. Evidence that you have read the required background materials.
3. Definition of data mining and discussion of how and when data mining can be used as a problem solving technique.
4. Description of the range of analytical tools used online or in other forms to extract meaning from the data.
5. Explanation of the role of data mining and warehousing in an organization*****'s overall information technology strategy
6. Description of the main data warehouse concepts.
7. Evidence of your thinking about the issues, and going beyond the obvious to develop an analysis reflecting your own critical thinking. (Note: This is discussed in Welcome Message and Module Home pages).
Case Expectations, and Grading Criteria:
Your paper will be evaluated on the following criteria (meeting minimum requirements is B performance):
_ Complete the case assignment.
_ Length of 3-5 pages (since a page is about 300 words, this is approximately 900-1500 words)
_ Conducted evaluation and analysis as required
_ Support for assertions using examples, citations (use required readings), and elaboration to support assertions. Evidence that you have read the required background materials
_ Precision: the questions asked are answered.
_ Clarity: Your answers are clear and show your good understanding of the topic.
_ Breadth and Depth: The scope covered in your paper is directly related to the questions of the assignment and the learning objectives of the module.
_ Critical thinking: It is important to read the *****"required readings*****" posted in the background material plus others you find relevant. Your paper should include important concepts from these readings and incorporate YOUR reactions and examples that illustrate your reflective judgment and good understanding of the concepts.
_Your paper is well written and the references are properly cite
How to Reference "Data Management, Warehousing, and Mining" Essay in a Bibliography
“Data Management, Warehousing, and Mining.” A1-TermPaper.com, 2011, https://www.a1-termpaper.com/topics/essay/management-data-warehousing/86104. Accessed 5 Oct 2024.
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