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IT Operations Analytics
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IT Operations Analytics : ウィキペディア英語版
IT Operations Analytics

In the fields of information technology and systems management, IT Operations Analytics (ITOA) is an approach or method applied to application software designed to retrieve, analyze and report data for IT operations. ITOA has been described as applying big data analytics to large datasets where IT operations can extract unique business insights.〔(【引用サイトリンク】url=http://www.datacenterjournal.com/it/time-analytics-delivers-operations/ )〕 In its ''Hype Cycle Report'', Gartner rated the business impact of ITOA as being ‘high’, meaning that its use will see businesses enjoy significantly increased revenue or cost saving opportunities.〔(【引用サイトリンク】url=http://www.information-age.com/technology/data-centre-and-it-infrastructure/123457805/it-operations-analytics-changing-it-perspective#sthash.qCUlOnyW.dpuf )〕 By 2017, Gartner predicts that 15% of enterprises will use IT operations analytics technologies to deliver intelligence for both business execution and IT operations.〔
==Definition==
IT Operations Analytics (ITOA) (also known as Advanced Operational Analytics,〔(【引用サイトリンク】url=http://www.apmdigest.com/advanced-operations-analytics-what-the-data-shows )〕 or IT Data Analytics〔(【引用サイトリンク】url=http://it-online.co.za/2014/10/27/quintica-offers-bmcs-truesight/ )〕) technologies are primarily used to discover complex patterns in high volumes of often "noisy" IT system availability and performance data.〔(【引用サイトリンク】url=https://www.gartner.com/doc/2556718/hype-cycle-it-operations-management )Forrester Research defines IT analytics as "The use of mathematical algorithms and other innovations to extract meaningful information from the sea of raw data collected by management and monitoring technologies."〔(【引用サイトリンク】url=https://www.forrester.com/Turn+Big+Data+Inward+With+IT+Analytics/fulltext/-/E-RES75501?objectid=RES75501 )

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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