The process of data mining involves automatic disclosing of the information from database, that are too big to conduct using a predictive analysis. It does require the usage of mathematical techniques and statistical tools which are integrated with software processes. The data warehousing is about the merging the information through different sources and combining them into one comprehensive database. Some of the most commonplace accessing system like queries, reporting and analysis. The data integration is the process of collating and combining the data which exists in multiple source points and offerings a complete and comprehensive view of data.
The three different kinds of business intelligence tools used to collate, study and draw a comprehensive analysis out of complete data. The data warehousing primarily a kind of storage area where once the data transformed is cataloged and the business professionals can be utilized for the purpose of data mining and also for data integration. Both the data mining and the data integration is the automatic retrieval of data, that then analyzed and again transformed to serve the objectives of business intelligence. All the three processes that are supposed to aide the successful functioning of business processes and the main criteria of any tool is to create a thorough analysis of the data through various technological tools and help the effective business strategies.
The three aspects are useful to any businesses, that can help in digging out the data, and transforming them into constructive information, that would help the businesses to create a competitive model and also they will provide the output that required to create informed decisions regarding any particular aspects of the business.