IT, Support, & Helpdesk
It’s no secret that the most efficient and effective IT support desks and other helpdesks gain their edge through superior analytics. Chances are good that at least one of your competitors is already gaining insights from these data.
If you’re looking to get more value out of your support and helpdesk data but you’re not sure where to start, this article is a great introduction to the ways you can turn such data into actionable insights.
Data Visualization & Dashboards
We get it: you don’t want to spend your whole day staring at support desk data. Dashboards exist solely so that you don’t have to. A dashboard is a concise display of key business data, likely to display ten or fewer of only the most important graphics and/or tabular statistics.
When constructed properly, dashboards are a tremendous asset for helpdesk analytics.
They allow users to conveniently view KPIs such as first response times, customer satisfaction rates, and issue resolution rates on a self-service basis.
They prevent your support workers from wasting time assembling ad-hoc data reports,
They prevent viewers from wasting time sifting through large quantities of data on their own.
Real-Time AnalyticsHelpdesk analytics can benefit from real-time data flowing into a dashboard.
Machine Learning & Incident PredictionWhat if there were a way to predict IT-related incidents ahead of time?
Get The Most Out Of Your Service Desks’ Data
Organizations in nearly every industry are coming to recognize the benefits of state-of-the-art data strategy for their service functions. Thus, there are opportunities for your organization in service and helpdesk analytics, regardless of your prior level of data competence. Whether you are just starting out with data, or your organization has practices in place but wants to improve or advance them, we provide bespoke, engaging training sessions with the latest data analytics software as well as full-service data solution engineering. Contact us, and start putting your service desk data to work today.Get Help with Data Analytics