Enterprise IT performance is a crucial indicator of the quality of your internal and external services. Internal services are used by employees, where reliability and responsiveness contribute towards better productivity and reduced stress. It also indirectly benefits your IT department, as fewer performance-related IT service requests will reach your service desk. External services are even more critical as they serve your customer base. When these customers experience slowdowns, service disruption, or complete outages, they may decide to vote with their wallet and move elsewhere.
This makes performance analytics valuable. By continuously monitoring the performance health of your network and digital services, you can respond quickly to disruption, and even proactively mitigate the chance of disruption. It will also contribute to service uptime and customer satisfaction, widening your customer reach. Employees will spend less time troubleshooting IT problems and more time doing real work, helping them achieve more with less.
ServiceNow Performance Analytics platform is designed to help you monitor and track server and digital service performance over the long-term. This monitoring will help you identify trends in service usage to improve your resource-scaling response during peak hours.
Let’s explore how ServiceNow Performance Analytics offers value to enterprises:
Best practice KPIs and dashboards – With analytics, the higher the quantity and quality of data, the better. Thankfully, ServiceNow offers native monitoring on its platform to help you understand resource utilization across your network. Performance analytics can be applied to ServiceNow tools and third-party software solutions to help you gather performance data, irrespective of the environment.
Key Performance Indicators (KPIs) enable you to measure performance over time, and best-practice dashboard templates can help you start monitoring against KPIs with minimal setup. These templates are available through the Performance Analytics Solutions Library, giving you instant access to robust monitoring and analytics tools.
Real-time data – Performance analytics data is useful, but only in the right context. When you are experiencing performance problems or a service outage, data from the day before will be of no use. With real-time performance data, you can see what is happening on your network at a glance, so that you can respond more quickly to performance problems.
For example, your payment gateway may experience an outage that is preventing customers from making website purchases. Real-time analytics through ServiceNow will be monitoring all the servers that serve to host your website and payment gateway. With automated resource utilization alerts, you can see performance alerts in the dashboard and remediate them faster thanks to the root cause analysis process.
Analytics hub – The above two aspects of performance analytics are tailored and specific. If you want a full overview of the performance health of your network, look no further than the Analytics Hub.
This tool lets you identify trends and patterns and generate automated predictions and forecasts for the whole network or individual items. The tool creates something called Indicators, which are data sets consisting of filtered records specific to a single item or group. This results in unprecedented granular control over your performance analytics and monitoring, making it possible to catch performance problems before they manifest as service disruption or outages.
Performance analytics has immense potential to help businesses uncover and remediate performance problems on their network. The ServiceNow platform offers numerous integrations and comprehensive support, which allows for the monitoring of virtually any modern software application.
Stop letting performance problems affect your business. Find them before they disrupt by getting in touch with our experts for a ServiceNow assessment. With Trianz, you have the backing of a Premier Partner status ServiceNow provider, with decades of IT migration and digital transformation know-how.
Contact Us Today
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
A Winning Base for Successful Digital Transformations When it comes to developing a successful digital strategy, it is not just corporations planning to maximize the benefits of data assets and technology-focused initiatives. The Government of Western Australia recently unveiled four key priorities for digital reform in its new Digital Strategy for 2021-2025.Explore
Engage Your Workforce with a Modern Employee Intranet Solution The employee intranet has changed significantly since it was first introduced in the early 1990s. What started as HTML-based static portals have now evolved into intuitive communication tools complete with search engines, user profiles, blogs, event planners, and more. Today, many organizations are taking a second look at employee intranets to bridge gaps between teams, build company culture, centralize information, increase productivity, and improve workflow.Explore
Adopting emerging cloud technologies, consolidating resources, and improving processes is the key. “IT no longer just supports corporate operations as it traditionally has but is fully participating in business value delivery. Not only does this shift IT from a back-office role to the front of business, but it also changes the source of funding from an overhead expense that is maintained, monitored, and sometimes cut, to the thing that drives revenue,” said John-David Lovelock, research vice president at Gartner.Explore
Deliver Powerful Insights Instantaneously with Federated Queries - No Matter Where Your Data Resides The concept of federated queries isn’t new. Facebook PrestoDB popularized the idea of distributed structured query language (SQL) query engines in 2013. Over the years, AWS, Google, Microsoft, and many others in the industry have accelerated the adoption of a distributed query engine model within their products. For example, AWS developed Amazon Athena on top of the Presto code base, while Google’s BigQuery is based on Cloud SQL.Explore
What is Unstructured Data? Almost 80% of the data that enterprises and organizations collect is unstructured - data without a set record format or structure. Unstructured data includes data such as emails, web pages, PDFs, documents, customer feedback, in-app reviews, social media, video files, audio files, and images.Explore