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Enterprise work environments have changed beyond recognition. Hybrid work, remote teams, cloud applications, collaborative suites, digital workplace services, and AI workplace assistants have revolutionized how we work.
With growing investments in digital workplace technology comes one question: how can businesses know that digital tools and services are improving employee experience?
Enterprise digital workplace analytics allows businesses to collect data from devices, applications, collaboration tools, service desks, and everything employees use to derive insights into how to improve employee experience.
Below, we’ll cover:
Workplace analytics is simply the data generated by digital tools and devices that employees use every day. It can include any information about how employees use technology to complete work tasks. With digital workplace analytics, IT leaders have visibility into what’s happening in the workplace, enabling them to derive insights that drive action.
Traditional IT service management reporting provides only a partial view, focused on technology health. Workplace analytics includes technology performance plus how people are experiencing work.
Key sources of digital workplace data include:
These tools define how work happens. Understanding how employees interact with these tools can highlight friction points that impact productivity.
Traditionally, IT performance was measured by availability and uptime. Analytics focuses on everything that impacts employees’ ability to do their jobs.
Key examples include:
At Hexaware, we take a modern approach to digital workplaces. Our digital workplace strategy includes continuous experience monitoring and predictive analytics to enable enterprises to achieve intelligent automation and proactive IT support through AI-enabled workplace platforms.
Today, employee experience is directly linked to business outcomes. All interactions employees have with technology can make or break their day. There are several reasons why digital employee experience is critical.
For starters, how employees use digital tools defines how work gets done. If employees experience tech headaches, productivity drops. With hybrid work-from-home environments becoming more common, seamless digital experiences are more important than ever.
Additionally, we expect digital tools to work seamlessly. Today’s workforce expects technology that works like consumer software and devices. Finally, as more organizations shift to a data-driven approach, employees need tools that allow them to do their jobs without interruption.
It’s critical to design digital workplace strategies that integrate productivity apps and collaboration tools into seamless workflows to improve employee engagement and productivity.
There are four main components of workplace analytics that leaders should understand.
IT experience monitoring is the practice of monitoring endpoints, applications, networks, and infrastructure from the end user’s perspective.
IT experience monitoring can detect:
Traditionally, IT leaders would wait for employees to report slow application performance. With experience monitoring, IT can address tech issues before employees even notice.
Employee experience analytics measures objective device and application performance, as well as qualitative data such as employee surveys and feedback.
Employee experience data can highlight:
Workplace insights are derived from how employees behave when using technology.
Insights can reveal:
These insights can be used to redesign workflows and improve the digital worker experience.
AI powers the advanced analytics used to identify trends and make predictions.
AI can be used to:
Our digital workplace platforms are powered by AI-enabled observability and proactive monitoring. Learn more about Hexaware’s digital workplace approach.
Embedding analytics into digital workplace solutions enables organizations to gain an unprecedented view of employee behavior and friction points.
No more waiting for employees to file tickets. Analytics can identify technology-related issues before they impact employees.
This can lead to:
When armed with actionable data and insights, IT can create personalized experiences for employees based on their roles, workflows, and behaviors.
Personalization can look like:
Digital workplace analytics can paint a picture of how employees collaborate and identify areas of improvement.
Businesses can use these insights to:
Digital workplace analytics can surface opportunities to automate manual processes and deflect support tickets through guided self-help.
Automation benefits include:
By leveraging digital workplace analytics, IT can build an experience-driven service desk that minimizes resolution times and maximizes employee satisfaction.
When employees work remotely, new challenges arise.
Analytics can help with IT monitoring:
Digital workplace analytics can help IT leaders gain insight into what their distributed workforce is experiencing.
While the benefits of digital workplace analytics are many, here are a few that deliver immediate improvements:
Here are four steps to help your organization implement digital workplace analytics.
Goals can range from reducing service desk tickets to improving the new-hire experience. Having a goal in mind will help guide your analytics strategy.
Integrate your ITSM tools with endpoint monitoring solutions, collaboration platforms, and employee feedback channels.
Use AI to help identify trends and recommend action.
Workplace technology is constantly evolving. By monitoring experiences as they happen, you can better identify opportunities for improvement.
Workplace analytics allows businesses to transform how IT thinks about servicing the modern workforce. No longer can IT focus solely on uptime and service desk metrics. By placing employee experience at the center of your digital workplace strategy, you can use analytics to drive better business outcomes.
Learn how Hexaware is building workplace intelligence, a comprehensive analytics platform designed to improve employee productivity through intelligent digital workplace automation and AI-driven insights.
Digital workplace analytics involves collecting and analyzing data from employee devices, applications, and workflows to understand digital experience and improve productivity.
Traditional monitoring focuses on system performance, while employee experience analytics evaluates how technology affects employee productivity and satisfaction.
IT experience monitoring identifies technical issues from the user perspective, allowing organizations to resolve problems proactively before they impact employees.
Organizations use endpoint monitoring tools, collaboration analytics platforms, AI-driven observability systems, and ITSM analytics solutions.
By identifying workflow inefficiencies, reducing downtime, and automating support processes, analytics removes digital friction and enhances efficiency.
Yes. It provides visibility into remote employee experiences, ensuring consistent performance regardless of location.
AI identifies patterns, predicts issues, and recommends improvements, enabling proactive support and continuous optimization.