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The STATISTICA Connectivity and Data Integration Solutions


StatSoft's customers depend on STATISTICA Enterprise for their business intelligence and data mining applications using a wide variety of data from disparate sources. STATISTICA Enterprise streamlines the access between consumers of these analyses and the requisite data by providing central configuration and management of connectivity configurations to your company's data sources, including its Enterprise Resource Planning (ERP) systems, Laboratory Information Management Systems (LIMS), Manufacturing Execution Systems (MES), data historians, data warehouses, etc. Once STATISTICA Enterprise is configured with these data connectivity settings, STATISTICA users, depending on their role in the system, have the requisite access to data extraction, filtering, and drill-down tools.

STATISTICA Enterprise provides configurations for defining standard connections to data from disparate sources, including:

  • Relational Databases
  • Flat Files (e.g., text files, MS Excel)
  • Proprietary Data Systems (e.g., the PI Data Historian from OSI Soft, Inc.)

    The configurations to data sources in STATISTICA Enterprise are defined and managed centrally using the STATISTICA Enterprise Manager Administration tools. The advantage of central administration is that the definitions of data sources and associated permissions can be set up once with changes made in only one place to allow the users with requisite permissions to utilize them.

    The STATISTICA Enterprise software system includes a metadata layer about the data in the defined data sources from which data will be imported and analyzed. These metadata are set up using the STATISTICA Enterprise Manager Administration tools. The metadata include items such as the name to be displayed to users, whether users are able to filter on each respective column, whether users are required to filter on a column before an analysis is run, the role of the column in the analysis, any crosstabulation settings to define how the data should be crosstabulated before it is analyzed, etc.





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