With Puma, we integrated revenue measures first as this is was their initial goal for using Umbrella. However, while working with data, we decided to expand our view to a much broader metrics than just revenue.

Discover how the LivePerson team is using Umbrella to detect when a problem is brewing and to ensure more than 18,000 customers were getting the most out of their solution.

What is customer experience monitoring? Why is it so difficult? Dive into this webinar with Customer Success Engineer, Steven Kirkpatrick, to better understand what it means to effectively monitor your user’s experience from start to finish.

This webinar gives a behind-the-scenes look at how Umbrella uses its own product to monitor its customers’ health and engagement. More than 60% of tickets handled by Umbrella’s support team are generated from monitoring alerts that notify us about real-time changes in our customer’s data rate and data usage. This immediacy allows our customer support team to take a proactive approach, as we often find issues before customers do.

Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Umbrella’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Umbrella’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.

See how Foursquare used Umbrella to shift from a manual, reactive process to automated, proactive application services management.

Learn what it takes to build time series anomaly detection, from industry experts Arun Kejariwal, Ira Cohen and Ben Lorica, who share valuable advice for ways to successfully implement and execute anomaly detection systems in today’s increasingly complex corporate world.