Partner Content: Why operational efficiency is essential to business success
Technology operations are the backbone of successful, competitive, and innovative businesses. The need for operational efficiency has become more apparent in recent times amid the shift to a digital economy. However, operations can become chaotic with increasingly complex and dynamic infrastructure. Inefficient processes lead to problems with costs, manageability, downtime, and sprawl, and ultimately pull focus from achieving strategic goals.
AIOps, the process through which human-powered IT progresses towards machine-powered IT, is a vital component in alleviating this.
Operations obscuring wider objectives
Today, organisations are using a patchwork of technologies that must be integrated and observable. IT teams, tasked with monitoring these environments, can become bogged down in manual day-to-day management and prevented from advancing initiatives for their customers.
Recent CRN research found that 71 per cent of MSPs think organisations are being held back from achieving wider business objectives because of operational visibility, workloads, and costs.
Considering operations impact every department and play a major role in customer experience, compromising on visibility by siloing or segmenting processes is problematic. Vital insights that could inform and enable business improvements may be lost, and downtime or interruptions will be frequent.
Using intelligent, automated operations generates actionable insights while reducing costs and redirecting resources. Advanced analytics determine the health and performance of services or applications, allowing system optimisation and tracking without the need for human-intensive supervision.
Automation and customer satisfaction
Enterprise IT needs are evolving, and clunky operations will impact customer relationships if support processes are suboptimal. Enabling help desk systems to determine and deal with user requests automatically ensures issues are often recognised and triaged faster and more accurately than a human employee. Productivity takes a hit when incident noise is widespread, holding users back from carrying out tasks. Users will also become frustrated if logging tickets or querying support means joining a lengthy queue.
With AIOps, noise is reduced and greater control is exercised over complex systems. It also means MSPs can charge for modern, high-quality, performant AI tooling while freeing up their teams to turn their attention and resources to other priorities.
Honing the ability to make proactive, predictive decisions takes the pressure off teams who may be buried in the day-to-day management of systems and means customers can rely on accurate, timely incident response.
Organisations will continue to adopt a greater number of computing environments, applications, and infrastructure, and observability is essential. By partnering with the right platform that facilitates automation, resources can be redeployed, metrics are visible and actionable, and MSPs can grow and scale accordingly - while supporting their customers.
This post is funded by LogicMonitor.