Contact centers (or call centers) are crucial touchpoints for customer interactions across various channels, including phone, email, SMS, live chat, and more. As businesses strive to deliver exceptional customer experiences (particularly in high-volume consumer-facing industries such as financial services, telecom, travel, insurance, healthcare, online retail, etc.), it’s imperative to optimize contact center performance. How imperative?

Companies using Zoom and Microsoft Teams as their real-time employee collaboration solution have access from their vendor(s) to the call and session data telemetry gathered by their solutions via a vendor-supplied API. But is this enough for effective management of collaboration tool performance in the enterprise digital workplace?

We have seen in the Series 1 of How To Improve the Performance of SaaS Applications using Nexthink on how Nexthink Application Experience could be leveraged to proactively monitor Page load times of Web Applications to improve user experience and application performance for increased business value.

We have seen in the Series 1 of How To Improve the Performance of SaaS Applications using Nexthink on how Nexthink Application Experience could be leveraged to proactively monitor Page load times of Web Applications to improve user experience and application performance for increased business value. Let us see in part 2 of this series how Nexthink could be leveraged to monitor Application Transactions.

Customers invest in Nexthink to see, diagnose, and fix problems before they occur, resolve critical disruptions, and improve overall digital employee experience to drive workforce efficiency. But after initial implementation of your new DEX platform, where do you begin? You have a robust set of measured KPI’s that must be achieved to fulfill the business requirements outlined by key leadership stakeholders, and an entirely new platform to learn how to use.

The explosive growth of web applications has created a serious blind spot for End User Computing (EUC) teams. While a few of the most business-critical custom web applications built by company DevOps teams are instrumented with Application Performance Management (APM) tools, the remaining commercial SaaS applications, whether customized/extended or “out-of-the-box” are a complete blind-spot.

Artificial Intelligence and Machine Learning have been at the heart of our strategy since the beginning. At the birth of Nexthink we wanted to help IT teams not get drowned in list of logs, but rather immediately see actionable data already processed, correlated and ready to consume.

We are excited to announce the availability of an all new, detailed and comprehensive Collaboration Experience Library pack with the 2023.4 release. This library pack gives Collaboration Experience users much greater insights for faster and more efficient troubleshooting of employee experience issues with Teams and Zoom calls. Full function workflows are included: All are designed to together simplify and speed the Collaboration Application issue workflow.

We are excited to announce the availability of significant enhancements to Application Experience and its use-cases and capabilities. For Application Experience, the 2023.4 release delivers an all-new Library Pack, coupled with several in-product enhancements to offer customers faster time to fully configured operation and increased value.