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Disruptions in the IT landscape are increasing in impact and becoming ever more expensive. Organisations that want to make their IT environment more predictable, versatile and secure will increasingly move in the direction of IT Operations Analytics (ITOA). This is the assertion of IT performance specialist Ymor in its latest whitepaper, “ITOA – from rear view mirror to crystal ball”. This whitepaper goes into more detail about how organisations can make best use of big data to improve their performance management. ITOA is deployed as ‘the next step’ after Application Performance Management (APM). Ymor describes this transition with reference to an ITOA maturity model.

ITOA strategy

ITOA is a strategy that continuously monitors the complete IT environment on the basis of various data sources and makes it possible to assess the impact of malfunctions on business processes. This allows forecasts to be made regarding IT performance and the behaviour of systems and applications in both the short and the long term, so that incidents can be prevented even before they have an impact. While APM primarily makes proactive IT management possible, ITOA adds preventive value. IT Operations Analytics is nominated by a number of analysts as the most important development in IT performance management for the coming years. It is expected that 25 percent of the top 2000 companies in 2018 will have an ITOA platform that collects and analyses data to keep IT environments stable, versatile and secure.

Martin van den Berge: “IT is playing an increasingly prominent role in organisations and business processes are ever more frequently dependent on IT systems. As a result, organisations are rightly attaching an increasing amount of importance to real-time insight into the functioning of the IT environment. Often, however, it goes no further than an estimate based on bits and bytes, but the really interesting part lies in the consequences for end users and customers. What does it mean when a web store loads a second faster or slower? Or if an application gets slower or stops at critical moments? How much revenue is lost then, and how much productivity is lost? Questions of this kind are central to IT Operations Analytics. Fortunately, there are plenty of ways to answer them. Because data is recorded from an increasing number of business processes, it is possible to correlate the collected IT data with business data. These correlations provide information to prevent malfunctions in the IT landscape and help the IT manager to decide on strategies and the associated budget allocations.”

Download the whitepaper here IT Operations Analytics, from rear view mirror to crystal ball.

Or view the video below, in which the ITOA concept is explained in 90 seconds:

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