A general question might comes in our mind that what is Data Mining? Well it is a process that is used for analyzing the data from different angles and standpoints and in the end summing up the information into useful and concrete data. This information helps companies to increase their profits or may reversely cut their expenses. With the advancement of technology in nearly every field, data mining is one of the important and vital tools used in the modern era. The advantage of using such technology is that it gives the business intelligence a real boost. Hence, the data mining process is to identify the existing relations or models in large databases and help bringing real value to the business.
Before any major step, it is very important to understand how the data mining works and what is data mining? Data, as the name suggests, is in the form of numbers or text which can be processed and run by the software. Now the question arises here that what sort of data to analyze? Growing companies, in today’s world, have started analyzing their different type of data through data mining technology. This data analysis is done on following types of data:
1- Transactional database or in case of accounts/finance operational databases e.g. sales management, cost inventory and accounts data etc;
2- Logical database designs;
3- Industry/field sales, date used for forecasting and to some extent even large-scale/macro economic data.
Purpose of Data Mining
As mentioned earlier in the article, data mining definition can be described as a process of analyzing and then re-arranging the patterns of the data and finding co-relations in them in such a way that it goes in the benefit of the business overall. The information through data mining can be converted into reliable and business oriented trends and patterns; for instance a sales manager can use data mining to analyze his daily sales summary/information in several aspects like getting to know consumer behavior or may be target consumers. Hence he can increase his revenue of business by knowing such information. Similarly, data mining helps the companies to identify their profitable elements like at what price product should be sold? what should be the product positioning?, finding economic indicators, customer behavior and demographics. All these elements and factors facilitate the companies in finding their competitive advantage.
Data Mining Tools:
Data mining technology has done wonders over the past decade. Data mining tools are used for implementing the high level advanced databases; and they process and analyze the data within few minutes. The data mining tools helps to get the information faster from the complex and huge databases. Faster speed and performance is what data mining tools are all about.
How the data mining analysis is done:
The data mining software analyzes the relationship and patterns in the business transactions. There is a lot of different analytical software which are available for data mining analysis. For example, computer learning, statistical and economical analysis software. However, the relations and patterns are provided in following four types that explains the:
- Relations in sequences;
- Relation in Association;
- Relations in groups or also known as clustered; and lastly
- Relations in classes.
Data mining definition may consist of following sub-factors:
- To extract and analyze data and transform into intelligent patterns;
- To help companies and business people in providing data analyses using appropriate Data mining tool
By the above description you would now be in a better position now to answer the question that what is data mining?