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    IT operations analytics field growing rapidly

    IT Operations Analytics is a growing field as IT departments find it necessary to analyze their own data.

    In general, technology is trending toward the complex, or the interconnected. Nascent technological developments like cloud computing, wearables, the Internet of Things (IoT) and other related devices are spinning a highly connected and thus more complicated web. Devices and applications with the ability to instantly communicate and interact with one another have set the stage for enormous business and personal opportunities.

    Devices that fall under the IoT's umbrella trade on one thing: user data. The depth and breadth of data available as adoption of these technologies grows has given those in charge of making sense of all of it – usually an IT department – more than they can handle.

    The central role of data analytics
    IT News Online wrote that the increasing volume of data generated by embedded systems in various devices inside and outside the enterprise must be met with a matching level of expertise of the IT analytics team. It's not enough to be able to generate or gather large amount of data – someone has to make sense of it and make it actionable. Any set of data is only valuable if it generates insights and answers.

    "Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time. Analytics will become deeply, but invisibly embedded everywhere," said David Cearley, vice president and Gartner Fellow.

    Opportunities for IT operations analytics jobs
    The amount of job opportunities for those with the necessary skill sets will increase in tandem with this new demand for data analytics. While big data is often thought of as a consumer facing endeavor, TechRepublic reported that many enterprise IT departments need employees who can analyze their own data.

    System success, failures and everything else that goes on within the IT infrastructure is considered IT data. All services, applications and devices throughout the entire enterprise are connected to the IT department and are ripe for data collection and analysis.

    As social media, wearables and mobile devices become more integrated within workflows, the IT infrastructure grows more complex and the need to analyze system performance data becomes greater. Job seekers with existing analytics skills or seasoned IT professionals looking to learn something new and become more versatile should consider this field as lucrative opportunities arise.