B&M Services is a company, which efforts are directed to development of software in the areas of OLAP and Data Mining.

OLAP and Data Mining software tools of B&M Services facilitate managers and analysts in their process of making decisions, giving them possibilities to discover hidden patterns and tendencies in their data. By a continuous observation, studying and applying the world experience in that field, B&M Services strive for being on a level, enabling it to become a noteworthy competitor on the market of data analysis products.

Deeply convinced that incorporating of business intelligence in the marketing and the management is more than necessary, B&M Services is running forward into development of modern software, which satisfies these purposes.

Our product is called BI2M /Business Intelligence to Marketing and Management/. BI2M is a powerful and easy-to-use OLAP and Data Mining tool for Microsoft Analysis Services.  Microsoft Analysis Services is an OLAP server which is a part of Microsoft SQL Server 2000. When you buy Microsoft SQL Server 2000, you get Microsoft Analysis Services even if you don't know about this. The product that we offer is useful to explore and analyze the cubes of Microsoft Analysis Services. If you need solution for your own personal use or a business solution, BI2M is an affordable choice. You can find BI2M as an OLAP application only or combined with Data mining algorithms.

The preparation of data for OLAP involves a considerable amount of data transformation, cleansing and homogenization. Our company with Our partners  provide some consulting services in order to help our customers with creating of OLAP cubes and building of a data warehouse. The data warehouse is a database containing data that usually represents the business history of an organization. Data warehouses are designed to overcome problems encountered when an organization attempts to perform strategic analysis using the same database that is used for online transaction processing (OLTP).

OLAP is a technology that allows users to analyze a large database to gain insight on the information it contains. Because the OLAP storage unit is multidimensional, it is called a cube as opposed to a table.

Data Mining is the process of discovering meaningful patterns and relationships that lie hidden within very large databases. By automating data mining, computers discover the patterns and trend present in the data while the person in charge of making use of these discoveries decides which patterns are truly relevant.