Operations | Monitoring | ITSM | DevOps | Cloud

Technology is central to enterprise business strategy today – that goes without saying. From customer experience to ESG goals, digital technology plays a central role in in the day-to-day and strategic objectives of the modern enterprise. Emerging technologies are driving innovation every day. When it comes to adopting new technologies, whether it’s adopting new SAAS solutions or implementing AI, an IT change management approach needs to incorporate the business side of change management.

At Nexthink, we are committed to supporting our customers as they accelerate sustainable IT improvements in the global fight against climate change. Through our Sustainable IT solution, we aim to provides vital insights to help IT and EUC professionals embed sustainability into the core of their IT strategy. The great news is that doing this leads directly to operational efficiency and cost savings. We hope every company keeps this in mind as they accelerate their sustainable IT efforts.

We are thrilled to share the latest updates and enhancements to Employee Engagement! At Nexthink, we continue to invest, innovate, and lead the way in facilitating two-way communication between IT and employees, powering self-help and direct communication for any of IT’s pressing needs. In this blog post, we’ll dive into five exciting new features and improvements that foster better communication, drive effective campaigns and engagement, and enhance employee satisfaction overall.

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.

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.

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.

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.