Simple and powerful data mining tool. Data Odyssey technology allows you extract and analyze data directly from various types of data sources: MS SQL Server+ODBC; MS SQL Server+IIS+HTTP+XML; ORACLE+ODBC; MySQL+ODBC; VFP DBF; VFP DBC; MS Access, Any type of data source above+DataOdyssey server +RPC+XML or +IIS+XML+HTTP. You can join uncompatible data during the same mission. Also allows cubes(OLAP) creation and has set of tools (data copying,...)

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Simple and powerful data mining tool. Data Odyssey technology allows you extract and analyze data directly from various types of data sources: MS SQL Server+ODBC; MS SQL Server+IIS+HTTP+XML; ORACLE+ODBC; MySQL+ODBC; VFP DBF; VFP DBC; MS Access, Any type of data source above+DataOdyssey server +RPC+XML or +IIS+XML+HTTP. You can join uncompatible data during the same mission. Also allows cubes(OLAP) creation and has set of tools (data copying,...)

mission, model, olap, tables, http, tool, business, automation, server, gattaca, cube, replication, access

The OLAP + CHART ModelKit package is intended for the creation of decision support systems. The product includes OLAP component for multidimensional data analysis: OLAP ModelKit; and component for advanced charts and graphs creation: Chart ModelKit. For the joint use of the components, Chart Viewer is placed on the form the DataCubeGrid is located on, few mouse clicks and data is represented as comprehensible charts and graphs.

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data mining software. In the wide area of data mining DBMyne addresses the field of decision cube analysis. DBMyne is an easy to use software that helps you analyze and present data stored in computer databases. DBMyne is a practical tool for decision cube analysis. For decision cube analysis DBMyne needs an input table that contains dimensions and facts in its columns and data to be analyzed in its rows. The input data should be stored in a database

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data in charts and graphs rather than in numbers. Gives users a unique opportunity to analyze their business data visually and spot new trends and discover unknown problems in their data flow. - Data Source: Construct your visual data representation cube from a relational database or from MS Analysis Services. - Save Reports in file: Save your report and distribute it to another person by network or email. - Filters, Groups, and Sorting: Select what

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data sources (including ADO.NET and IList). OLAP ModelKit supports nested data sources. Now there is no need to prepare a special data access meeting the required calculations. This library is intended for creating and utilizing cross reports based on multiple statistical data of large volumes. Moreover, OLAP ModelKit provides an opportunity to represent the final report data not only as a table; it also allows organizing the information so to make

analytical data processing, olap, data cube, pivot table