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Data Mining
The amount of knowledge available in today's world is massive. The information technology specialist who's responsible to his or her organization for maximizing the capacity for practical usage of this knowledge, it is becoming increasingly difficult to have a total grasp of the problem. The purpose of this essay is to discuss the importance of implementing data warehousing and mining systems inside an organization. In order to do this, it is necessary to contrast the positive benefits of data mining and contrast those ideas with the negative connotations associated with the similar processes.
Data mining, according to Thearling (2009) is "the automated extraction of hidden predictive information from large databases. " Additionally, data mining is a proactive and aggressive tactic that can serve the overall business strategy when properly aligned. Statistical analysis is inherent within any type of data mining technique and is expressed in these terms. The reasons why data mining or data warehousing is important is because of the potential to simplify all types of processes within a complicated data field.
It is also important to understand the complex issues involved in gaining a total understanding of what is at stake. Greenfield (2005) examined the case for data warehousing and the case against data warehousing. There's several reasons why a company would want to implement these...
What's most important to understand is that whatever data mining technique is used, and for whatever purpose, it must be aligned with the greater organizational goals in order for it to contain any advantage.
Greenfield (2005) also stated a strong case against data warehousing and data mining processes. Data warehousing systems do not seem to capture a total organizational view. The complication that data mining often initiates can often distract the organization from its larger mission. Technology also has the tendency to move at a very quick pace. Consistently upgrading and overhauling data mining systems may not be worth accomplishing for some companies. The overall costs of data mining systems can be expensive and not cost-effective for some companies to implement. Once again it is important to make sure that whatever data mining system is implemented or not implemented that this maneuver is associated with the overall principles of the strategic goals of the business.
Currently on today's market there is a range of analytical tools that can help extract meaning within…
Bibliography
Betancourt, L. How Companies are using your Social Media Data, 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 http://www.dwinfocenter.org/casefor.html
Greenfield, L.Greenfield, L. (2005) The Case Against Data Warehousing http://www.dwinfocenter.org/against.html
Thearling, K. (2009) An Introduction to Data Mining http://www.thearling.com/dmintro/dmintro_2.htm
The use of databases as the system of record is a common step across all data mining definitions and is critically important in creating a standardized set of query commands and data models for use. To the extent a system of record in a data mining application is stable and scalable is the extent to which a data mining application will be able to deliver the critical relationship data,
The heuristics that are considered are probabilistic machine learning approaches. Such an approach is the 'Alignment Conditional Random Fields' that is designed for a scoring sequence for undirected graphical models. (Bilenko; Mooney, 2005) There are demands for this type of software and there is a vast area of information analysis where text mining is beginning to get important. One field is in the analysis of literature and research reviews. Literary
Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to
Mining The process of extracting new information from existing information through the use of computer system is called Text Mining. Text mining retrieves data of available information and establishes the connection between the facts mentioned in that data. This is how, new information is developed. Since it is newly formed information, its validation is conducted through experimentation. The process of web search is often confused with that of text mining,
Growth Aided by Data Warehousing Adaptability of data warehousing to changes Using existing data effectively can lead to growth Uses of data warehouses for Public Service Getting investment through data warehouse Using Data Warehouse for Business Information Ongoing changes in Data Warehousing The Origin of Data Warehousing and its current importance Relationship between new operating system and data warehousing Developing Organizations through Data Warehousing Telephone and Data Warehousing Choose your own partner Data Warehousing for Societal Causes Updating inaccessible data Data warehousing for investors Usefulness
DBMS and Data Warehouses (1) in this writing assignment, you will create a brochure advertising your services as a data repository. Powered By Excellence Data Repository Service Powered By Excellence is the only data repository service with globally-located data centers across each continent, each with specific security, reliability and fault redundancy systems in place. Our staff includes world-class experts on the following platforms: IBM, Microsoft, Oracle, MySQL, Informix, Sybase, Teradata and SAS expertise in-house as