Esta importante empresa farmacéutica internacional está dedicada a la investigación, el desarrollo y la distribución de soluciones terapéuticas. Con casi 100.000 profesionales en más de 100 países, la empresa se dedica a promover la asistencia sanitaria en todo el mundo.

Esta compañía líder, farmacéutica internacional, es la principal fabricante y distribuidora más grande de medicamentos pediátricos, globalmente. La organización realiza miles de estudios clínicos al año que exigen de la administración y entrega correcta de medicamentos y materiales para estudios clínicos a fin de mantener la integridad de los estudios.

Optimice su negocio mediante la optimización del rendimiento de sus datos

Trillium Software System® (TSS) es una solución única consumible para manejar la calidad de los datos; aunque está diseñada para que los profesionales de negocios y expertos en datos la utilicen con facilidad y de manera intuitiva, es lo suficientemente poderosa como para manejar casi todos los problemas más complicados de calidad de datos. TSS lleva a cabo sus estrategias de gobierno de la información.

Incorporar a su proyecto una solución efectiva de calidad de datos requiere una cantidad de actividades adicionales durante todo el ciclo de vida de su plan de proyecto. Algunas tareas son más adecuadas para que tomen el mando los recursos de los usuarios profesionales mientras que otras tareas son principalmente actividades técnicas.

Teradata and Trillium Software
Teradata and Trillium Software provide quality information on a high performance backbone The single most important factor in successful data warehouses, master data management (MDM) solutions, and other enterprise applications is easy to identify – it is data. Information must be taken from the operational infrastructure and loaded into these systems. But data from numerous, independent applications is diffi cult to reengineer.
Integrating customer, supply chain and transactional data in a way that correctly supports a single view or master data management eff orts is a challenge.

Overhaul and Govern Product Data
Analyze any business or operational decision or customer relationship and at its heart you will fi nd data. Incorrect, inconsistent, outdated or incomplete data can undermine any decision. Because data is a shared asset, suspect data permeates across the organization, derailing important IT initiatives such as enterprise resource planning (ERP), supply chain management (SCM), master data management (MDM) or product information management (PIM).

The Need for a Unified Solution
“The main job of technology is to get out of the way,” says David Gelernter, Yale computer scientist and prominent proponent of software that simplifies work by handling complex problems in a unified way.1 Well-designed software should cut the time it takes to manage the complexities of information so people can more easily get their work done. But all too often technologies— diverse technologies, platforms, systems, applications—make work complex, creating barriers to reliable, unified information.

Does your data really support better business decisions?
Business and technical managers are having a hard time presenting a viable cost justification for implementing data quality in their organizations. This is despite a variety of industry studies and polls that attest the importance of data quality for successful data warehousing and other business initiatives.

Summary: Corporations striving to maximize their global data assets should pursue strategies that incorporate enterprise-wide data quality and governance. To achieve this often requires technology.
Optimally a selected partner or vendor should provide: data quality best practices and experience relating specifically to global data; automated upfront profiling and data investigation strategies and capabilities, built-in global readiness (available out-of-the-box capabilities), and complete data quality and governance support.

Data Quality in the MDM Ecosystem
What is MDM?
The premise of Master Data Management (MDM) is to create, maintain, and deliver the most complete and comprehensive view possible from disparate enterprise data. These composite views consolidate data related to customer,product, supplier, employee, asset, material, and location information.
Final, integrated master views are then made available to applications, increasing the value they can provide as part of operations and analysis.