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Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.
Enterprise data planning is based on proven business disciplines. [3] Key architectural layers for data and applications are then added in order to provide an enterprise wide understanding of the uses and interdependencies of data. [4] This enables the definition of the core components of the EDM plan: Industry structure and business objectives ...
A range of software vendors offer these systems at an enterprise level (i.e. targeted at managing all documents and records within an enterprise). [1] These vendors have historically provided electronic document management systems and have acquired smaller records management system companies. The seamlessness of the integration and the original ...
The ARIS concept (Architecture of Integrated Information Systems) by August-Wilhelm Scheer aims to ensure that an enterprise information system can completely meet its requirements. This framework is based on a division of the model into description views and levels, which allows a description of the individual elements through specially ...
Enterprise content management (ECM) extends the concept of content management by adding a timeline for each content item and, possibly, enforcing processes for its creation, approval, and distribution. Systems using ECM generally provide a secure repository for managed items, analog or digital.
An Enterprise Information System (EIS) is any kind of information system which improves the functions of enterprise business processes by integration. This means typically offering high quality of service, dealing with large volumes of data and capable of supporting some large and possibly complex organization or enterprise. An EIS must be able ...
It is a complex method dealing with interconnected data, processes, strategies, aims and organizational departments. BSP was a new approach to IA; [3] its goals are to: Understand issues and opportunities with current applications; Develop future technology supporting the enterprise
Enterprise output management (EOM) is an information technology practice that deals with the organization, formatting, management and distribution of data that is created by enterprise applications like banking information systems, insurance information systems, ERP (enterprise resource planning systems), CRM (customer relationship management), retail systems and many others.