Data mining refers to the process that involves data processing and analysis of specific patterns and trends that help businesses apply this knowledge to make different decisions. Data mining techniques are becoming prominent with the passage of time and with the emergence of the concept of big data. Many companies are part of the Data Mining Group, and these are effectively using the technique for the progress of their business. One such company is IBM, which uses data mining tools to increase its performance. This paper will discuss how IBM is using data mining tools to market its goods and services more effectively.
IBM is such a company that requires the management of its explosive growth related to line data. The problem of managing big data is effectively addressed by the use of different data mining tools. IBM is using SPSS as a data-mining tool, and its background is related to statistical and survey analysis(Brown). A company uses this tool to analyze its big data and make predictions in different areas to improve marketing and sales effectiveness. With this tool, past trends related to sales are analyzed, and accurate forecasts are made, which then becomes a source of an increase in sales. There is also an IBM InfoSphere that is being used to analyze the data related to a warehouse. This tool provides access to data sourcing and makes the preprocessing mining and analysis of information related to a single package possible (Knowledge Discovery and Data Mining). This is all done based on customers’ requests and wants, and thus, the company increases sales. Thus, there is a use of a range of tools and systems for data mining as these allow data storage and processing systems required for effective marketing.
Works Cited
Brown, Martin. Data Mining Techniques. https://www.ibm.com/developerworks/library/ba-data-mining-techniques/.
Knowledge Discovery and Data Mining. https://researcher.watson.ibm.com/researcher/view_group.php?id=144.
