5 Trends Impacting the Future of Machine Data Intelligence
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Log Management Will Lead to Democratization of Analytics
The use of analytics to monitor, manage and gather insights from user, application or infrastructure logs will be the only near-perfect way to address the growing complexity of cloud and hybrid-cloud infrastructures. We've already seen vendor consolidation and are likely to see new vendors try and move into the logs analytics space. As such, this will increase organizational awareness of the value of log management to support application development, security and IT operational success. This will be the first sign of the democratization of analytics.
According to the latest forecast from Gartner, Inc., global revenue in the business intelligence (BI) and analytics market will reach $16.9 billion in 2016, an increase of 5.2 percent from 2015. Machine analytics will be the fastest growing area of BI, which will have CAGR greater than 1000 percent. As digital transformation grows, so does the reliance on new software and architectures. Today, software is not only driving business processes, but entire business models, and the need to manage, monitor and troubleshoot applications in real time has never been more critical. Thus, the need for speed, full-stack visibility and agility — all in real time — is the true business demand underpinning the growth of machine data analytics.
In this slideshow, Ramin Sayar, president and CEO of Sumo Logic, offers the five trends he sees most impacting and shaping the world of machine data analytics.
Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing
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