DOWNLOADABLE ENTERPRISE GRADE DATA PROCESSING SOFTWARE

Brand Owner (click to sort) Address Description
DDS REP ASSIST D Cube Analytics, Inc. 1320 Tower Road Schaumburg IL 60173 Downloadable enterprise-grade data processing software to deliver insights to biopharma pharmaceutical representatives to better engage with physicians on web dashboards and mobile application software;DDS REP;Software as services (SAAS) services featuring software for data processing and cloud infrastructure management services to customize proprietary insights and to configure customized business rules for biopharma pharmaceutical representatives to better engage with physicians;
DDS TERRA D Cube Analytics, Inc. 1320 Tower Road Schaumburg IL 60173 Downloadable enterprise-grade data processing software for biopharma manufacturers to accelerate building datalake with pre-built pharma contextualized data-ingestion modules, to ingest data and industry-standard data modules, and to ensure strong adherence to pharma-specific data management processes;DDS;Software as services (SAAS) services featuring software for cloud infrastructure management, data processing, and visualization services to customize brand management strategies in biopharma domain;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a apparatus for graphically analyzing relationships in data from one or more data sources of an enterprise. The apparatus can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The apparatus is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.