DOWNLOADABLE ENTERPRISE DATA PROCESSING SOFTWARE

Brand Owner (click to sort) Address Description
DDS BRAND 360 D Cube Analytics, Inc. 1320 Tower Road Schaumburg IL 60173 Downloadable enterprise data-processing software for comprehensive brand management in biopharma industry to identify and understand stakeholder requirements and to define engagement strategies, namely, onboarding prescribers and patients, identifying market access challenges, and for monitoring sales performance for patient adherence and prescriber experience;DDS BRAND THREE SIX ZERO; DDS BRAND THREE HUNDRED SIXTY;DDS AND BRAND;Software as services (SAAS) services featuring software for cloud infrastructure management, data processing, and visualization services to customize brand management strategies in biopharma domain;
DDS HCP 360 D Cube Analytics, Inc. 1320 Tower Road Schaumburg IL 60173 Downloadable enterprise data processing software and downloadable cloud-based software with built-in analytic engine to analyze prescriber behavior and to operationalize and actionize proprietary insights for biopharma companies to enhance engagement with prescribers;DDS HCP THREE HUNDRED SIXTY; DDS HCP THREE SIX ZERO;DDS AND HCP;Software as services (SAAS) featuring data processing software and cloud configuring platforms to customize internal biopharma datasets and business rules, to create data ingestion and transformation pipelines, and to customize rules for quality data management for biopharma manufacturers;
 

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.