5 Trends Impacting the Future of Machine Data Intelligence

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BI Value Shifts from Rear-View to Continuous

The tectonic shift to cloud-based platforms to increase speed and agility will change overall BI, from on-premise solutions delivering rear-window insights to solutions that deliver continuous intelligence in real time. By harnessing the insights inherent in real-time log data analytics, companies will have faster access to operational and customer data that can enable 24/7 innovation and help them sustain their competitive edge.

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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