New research found the more software-centric a company is, the more likely it is to have 100+ people who use machine data analytics at least once a week.
A new report commissioned by cloud-based analytics platform Sumo Logic from 451 Research concluded that use of machine data analytics by non-IT personnel for business value has grown faster than predicted.
Key Findings
The report also found that more software-centric companies tend to have 100+ people that use machine data analytics weekly. Users at these companies are also more likely to combine machine and BI data for increased visibility.
- 30%+ of respondents that used machine data hold roles outside of IT and security, including customer service, product management, BI analysis, and C-level management
- 54% said their companies use machine data
- 44% use it specifically to support end user experiences
Respondents who use machine data analytics to support end users also suggested that adopting new technologies — like micro services and containers — complicate the data extraction. They assert the need for analytics tools able to meet the demand of new application architectures.
“The world is moving from generic solutions to personalized ones that address very specific customer pain points, and this requires an agile and flexible platform built for the cloud,” says Bruno Kurtic, founding VP of product and strategy at Sumo Logic. “Legacy analytics tools have failed organizations because they can no longer deliver the visibility needed to support the investment customers are making in modern architectures at cloud scale. The new enhancements to Sumo Logic’s platform not only provide real-time access to machine data analytics as a service but also make data easily accessible to everyone enabling organizations to leverage these insights to drive better experiences for their customers.”
See also: How to merge machine learning and data prep
Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.
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