The sustained interest in business intelligence applications has driven large corporations, software development companies to focus on developing a wide range of business intelligence tools suitable for each and every industry. The use of business intelligence operations has increased in recent years due to the uncertainty in global markets.
Currently available tools including the Microsoft business intelligence software include numerous paid, freeware as well as open source and proprietary software. They are customized by a custom software developer to suit the requirements of a specific client.
Data mining combines key elements of statistics and computer science with the objective of identifying patterns in large data sets. Currently implemented data mining methodology includes various elements of database systems, statistics, machine learning and artificial intelligence to deliver actionable intelligence to managers, decision makers and data analysts in an enterprise.
Data mining is distinct from information processing or large-scale data analysis as the process is based on "discovery" i.e. the detection of something new. As data mining deals with large data sets, various automated and semi-automated solutions are available to carry out the task.
Data mining applications developed by any software development company focuses on performing the following tasks- anomaly detection, association rule learning, clustering, classification, regression as well as summarization.