Sumo Logic Launches Outlier Detection, Predictive Analytics
The company's outlier detection capability is powered by an algorithm that can analyze thousands of data streams with a single query.Sumo Logic enhanced its service portfolio, adding outlier detection and predictive analytics capabilities to its cloud-based data analytics platform. The platform is designed to give customers visibility across thousands of data streams and help detect and predict performance, reliability or security issues before they happen within their apps and services. "Advancements in machine learning and predictive analytics are making it possible for organizations to optimize business and security processes to determine and address impending issues rather than running in place to continuously fix them," Sahir Azam, director of product management at Sumo, told eWEEK. "Analyzing trends, predicting violations and abnormal behaviors can also guide organizations when planning and executing critical strategic and operational decisions, and become especially critical for customer-facing and revenue-generating apps." The new outlier detection capability is powered by an algorithm that can analyze thousands of data streams with a single query, determine baselines and identify outliers in real-time, the company said.
Purpose-built visualization highlights abnormal behaviors and provides visibility into key performance indicators (KPIs) and key risk indicators (KRIs).