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{{Refimprove|date=September 2011}}'''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, [[Enterprise resource planning|ERP]] (enterprise resource planning systems), CRM ([[customer relationship management]]), retail systems and many others.
{{Refimprove|date=September 2011}}'''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, [[Enterprise resource planning|ERP]] (enterprise resource planning systems), CRM ([[customer relationship management]]), retail systems and many others.

Enterprise output Management is an [[information technology]], which makes it possible to organize, format and distribute outgoing data from different sources, applications and systems in an effective and cost-saving way. Output Management is about flexibility, intelligent and fast to be able to meet internal as well as external requirements and wishes for content, format and distribution form from all IT systems<ref>Tabellae Output Management, Output Management, www.tabellae.com</ref>.


In 2006, [[Gartner]] research estimated the market of EOM solutions at $441 million with 5% growth rate between 2006–2010.<ref>{{cite web |author=Kenneth Chin |author2=Toby Bell |author3=James Lundy |title=MarketScope for Distributed Output Management |date=13 March 2006 |url=http://www.gartner.com/DisplayDocument?doc_cd=136473 |publisher=Gartner |subscription=yes |accessdate=13 July 2016}}</ref> Gartner defined Distributed output management as [[middleware]] that drives the output process and supports the automated creation and delivery of business process and ''ad hoc'' documents. Middleware is software that is bridging between different software applications in terms of data formats, languages, communication protocols, etc.
In 2006, [[Gartner]] research estimated the market of EOM solutions at $441 million with 5% growth rate between 2006–2010.<ref>{{cite web |author=Kenneth Chin |author2=Toby Bell |author3=James Lundy |title=MarketScope for Distributed Output Management |date=13 March 2006 |url=http://www.gartner.com/DisplayDocument?doc_cd=136473 |publisher=Gartner |subscription=yes |accessdate=13 July 2016}}</ref> Gartner defined Distributed output management as [[middleware]] that drives the output process and supports the automated creation and delivery of business process and ''ad hoc'' documents. Middleware is software that is bridging between different software applications in terms of data formats, languages, communication protocols, etc.

Revision as of 12:23, 9 April 2019

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.

Enterprise output Management is an information technology, which makes it possible to organize, format and distribute outgoing data from different sources, applications and systems in an effective and cost-saving way. Output Management is about flexibility, intelligent and fast to be able to meet internal as well as external requirements and wishes for content, format and distribution form from all IT systems[1].

In 2006, Gartner research estimated the market of EOM solutions at $441 million with 5% growth rate between 2006–2010.[2] Gartner defined Distributed output management as middleware that drives the output process and supports the automated creation and delivery of business process and ad hoc documents. Middleware is software that is bridging between different software applications in terms of data formats, languages, communication protocols, etc.

References

  1. ^ Tabellae Output Management, Output Management, www.tabellae.com
  2. ^ Kenneth Chin; Toby Bell; James Lundy (13 March 2006). "MarketScope for Distributed Output Management". Gartner. Retrieved 13 July 2016. {{cite web}}: Unknown parameter |subscription= ignored (|url-access= suggested) (help)