5 ways to reduce Incident Volume with AI-driven Analytics
Data-driven best practices that free up time and resources to innovate
A profound shift is occurring in how IT should operate and measure itself. Gone are the days when IT was a back-office function content with merely defining and meeting Service Level Agreements (SLAs).
There are many areas that IT service leaders could invest in to drive innovation – AI, cloud migration, and robotic process automation are just the tip of the iceberg. However, this increased need for innovation is not always accompanied with increased budget and resources. IT is perennially tasked with doing more with less. High expectations makes it vitally important for IT service leaders to constantly monitor and tune their operations, allowing them to free up their best people from mundane tasks to drive innovation.
Reducing incident volume sits at the heart of this need to become more efficient.
Many IT leaders view incident resolution as a fixed cost of doing business. However, the daily flow of incident tickets can also prevent IT teams from tackling bigger problems or proactively improving their strategies. In the experience of many Numerify customers, the savings from incident volume reduction alone can be significant enough to fund many innovation projects.
In this report, we’ll review 5 best practices to reduce incident volume so that your organization can cut costs, free up resources for innovation, accelerate speed to value — all while delighting employees and stakeholders.