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{{More citations needed|date=September 2011}}
{{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.
{{Use dmy dates|date=October 2020}}


'''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 software|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.
In 2006, [[Gartner]] research estimated the market of EOM solutions at $441 million with 5% growth rate between 2006–2010.<ref>{{cite web |authors=Kenneth Chin, Toby Bell, 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 and 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 |archive-url=https://web.archive.org/web/20060516110624/http://www.gartner.com/DisplayDocument?doc_cd=136473 |url-status=dead |archive-date=16 May 2006 |website=Gartner |url-access=subscription |access-date=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.
== Notable systems and manufacturers ==

<!-- Do not add a link to your company's website or product here - it will be deleted. Only links to articles in Wikipedia should be listed -->
==See also ==
* [[Actuate Corporation]] Xenos Group
*[[Enterprise content management]]
* [[Exstream Software|HP Exstream]]
*[[Enterprise information management]]
* [[Levi, Ray & Shoup]] VPSX
* [[Pitney Bowes]]
* [[Inventive_Designers#Scriptura_Engage|Scriptura Engage]]


==References==
==References==
{{Reflist}}
{{Reflist}}


{{Use dmy dates|date=September 2011}}

[[Category:Information technology management]]
[[Category:Enterprise architecture]]
[[Category:Enterprise architecture]]

Latest revision as of 11:36, 20 June 2022

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.

In 2006, Gartner research estimated the market of EOM solutions at $441 million with 5% growth rate between 2006 and 2010.[1] 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.

See also

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References

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  1. ^ Kenneth Chin; Toby Bell; James Lundy (13 March 2006). "MarketScope for Distributed Output Management". Gartner. Archived from the original on 16 May 2006. Retrieved 13 July 2016.