Enterprise data management is a concept referring to the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. Enterprise Data Management must be thorough and comprehensive in conducting alterations and enhancements, whilst ensuring that the data systems remain functional and operative. EDM should not be viewed as dependent on a specific technology strategy or related to an explicit data type definition. The goal of enterprise data management is trust and confidence in data assets. EDM emphasizes data precision, granularity and meaning and is concerned with how the content is integrated into business applications as well as how it is passed along from one business process to another.
Various companies provide different solutions for data management but the best
Enterprise Data Management Solutions include component engineering, environmental compliance, master data management, analytics and consulting services. Component engineering services enable customers to efficiently manage their component item master, optimize the supply chain and improve inventory control. The manufacturing industry is today facing the challenge of complying with a host of regulations that restrict or ban the use of hazardous substances in products placed in regulated markets, which are taken care of by environmental compliance. MDM services are used by leading manufacturers and distributors to reduce procurement costs, minimize downtime, optimize suppliers and maximize ROI on enterprise software systems. Deriving Business Intelligence is one of the most critical values delivered by good, clean data. This is done through data analytics. And consulting services enable organizations to improve its functional efficiencies.For details
Topic: Data Precision Methods (Read 11398 times)