BI2M is developed to correspond with the last tendencies of data processing – OLAP and Data mining. It is a simple and understandable software product for analysis of large databases with a cube structure. It is used by analysts, managers and researchers to visualize and analyze their data. Combining powerful integrated, interactive tools for data access, data visualization and data mining, BI2M enables you to gain a deeper, intuitive understanding of your data, by helping you to discover hidden patterns, important trends and new knowledge.

OLAP - (the slice-and-dice tool) – a powerful tool for database exploring; applies the standard query techniques: slice-n-dice, drill up, drill down. Displays the results in form of 2D charts, 3D charts and table.

Clustering – finds dependencies in the database and divides the data in clusters using “Clustering" Data Mining algorithm – (Clustering of data is a method by which large sets of data is grouped into clusters of smaller sets of similar data.)

Decision trees – finds dependencies in the database using “Decision trees” algorithm – a popular Data Mining technique for predictive modeling.