Data mining is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining). This usually involves using database techniques such as spatial indexes. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system.
We, at Helical can help you in providing powerful data mining functionality, which will enable users to discover new insights hidden in data and to leverage investments. With Data Mining, you can build and apply predictive models that help you target your best customers, develop detailed customer profiles, and find and prevent fraud.
In our implementations, we use advanced techniques with the use of a variety of algorithms, manual creation of decision trees, complex logic, etc. Mining opens a spectacular range of possibilities for the treatment of large volumes of data, by performing simulations and complex calculations. The results of these analyzes data mining are directly integrated with the information contained in the Data Marts and transactional environments of organizations with massive volumes of data, get real answers to complex issues.