Digital Experience Monitoring

Digital Experience Monitoring (DEM) to improve End-User Productivity

Digital Experience Monitoring (DEM) is a method that enables businesses to track and evaluate end-user experiences in real time. It gives IT teams the ability to find and fix problems end users could have with their digital experiences. This boosts workplace productivity.

We can utilize DEM to increase end-user productivity and below are a few use cases.

  1. Detect issues in real-time and troubleshoot them proactively before end users are impacted. DEM enables you to do both things. By doing this, you may avoid any potential downtime or productivity loss brought on by problems with the digital experience.
  2. Examine usage and performance patterns: DEM offers information on how end users are using digital resources, such as apps, networks, and devices. You can find any bottlenecks or inefficiencies that might be affecting production by analysing these trends.
  3. Compare performance to industry standards: DEM enables you to compare the digital user experience of your company to industry standards. By doing this, you may spot potential areas of weakness and make the required improvements to increase production. Monitor third-party applications and services: Many organizations rely on third-party applications and services to operate. DEM can monitor the performance of these applications and services and identify any issues that may be impacting end-user productivity.
  4. Improve the end-user experience: You can improve the end-user experience by using DEM. Because of this, customer happiness may rise, which in turn may raise productivity. You may build a setting that promotes productivity and efficiency by anticipating any problems and offering a seamless digital experience.

DEM is an effective technique for raising end-user productivity at work. Organizations can foster a productive and efficient work environment by proactively identifying and addressing digital experience issues, analysing performance and usage patterns, benchmarking against industry standards, monitoring third-party applications and services, and improving the end-user experience.

This article is a part of our π˜Ώπ™žπ™œπ™žπ™©π™–π™‘ 𝙀𝙭π™₯π™šπ™§π™žπ™šπ™£π™˜π™š series. More to follow.

If you have queries related to π˜Ώπ™žπ™œπ™žπ™©π™–π™‘ 𝙀𝙭π™₯π™šπ™§π™žπ™šπ™£π™˜π™š π™ˆπ™€π™£π™žπ™©π™€π™§π™žπ™£π™œ, reach out to our in-house DEM experts. They are happy to hear from youΒ info@cmsitservices.com.

AIOps simplifies complex IT Environments

Complex IT Environments made easy with AIOps

Artificial Intelligence assisted IT Operations (or AIOps) is now the most pivotal technology intervention that is helping IT Services team to evaluate and identify the actual challenge in the IT estate that comprises of complex infrastructure and applications. The estate shares a volume of data that speaks a lot about the way the estate is behaving and how operations team can respond. The challenge is how to churn and analyse the data to enable the operations team.

With AIOps operations team can quickly identify the areas of concern and with faster turnaround can improve infrastructure response. AIOps helps monitoring and alerting the team for issues occurred, potential issues that may occur and by automating response to the issues. AIOps helps reduce the workload of monitoring team and allows them to focus on other critical tasks.

AIOps and Monitoring

When the IT estate is complex AIOps becomes crucial for monitoring the IT estates, as it is spread across multiple locations including cloud. The monitoring team needs to track logs, traces, and events.Β Β The monitoring team must collect data and analyse data, to derive certain actionable. The AIOps platform does all the data collection, co-relation, analysis and combines related issues to trace the root cause and enables faster resolution. The key function of AIOps is to precisely identify problems before they occur and reduce the possibility of outage.

Areas that AIOps can deliver better success are

  1. 1. Data and its consistency: Systems generate volumes of data for monitoring and the data keeps increasing with time and addition of systems. The data need to be available for processing regularly and in a specific format for the AIOps platform to respond faster.
  2. 2. Design simplicity in complexity: The interconnections of the systems need to be designed in the simplest possible way. This helps alerts from varied systems, Applications, workloads, and other deployments to come in a proper way. The AIOps can respond better and faster to such well-designed environment.
  3. 3. Adoption to change: the adoption to changes that are due to governing policies, change in technology, migration to new systems (application and infrastructure) occur faster than ever before. The AIOps helps IT Operations team to adopt to the new platforms faster.
  4. 4. Cloud readiness: with the shift of investment to β€œAs-a-Service” scenario, the cost optimization pushes the adoption of auto-scaling, in flight tuning, and can address higher volume of data.

With the overall complexity building up that increases the dependency on skills and systems, automation and AIOps plays a key role in helping overcome these challenges.

CMS IT Services enables deliver services with help of AIOps that enables customer derive benefits