it operation analytics
GAVel is the next-generation predictive intelligence platform for your data center operations. It offers real-time, end-to-end visibility into an enterprise’s operations, processes and user experience. GAVel aggregates information from underlying monitoring systems and ITSM ticketing system to correlate human intelligence data with machine data to provide predictions. Machine learning will sift through massive amount of variety of ticket data, monitoring information and device data.
GAVel’s Service Desk component enables enterprises to view day-to-day functioning of IT operations, leading to improved transparency and user experience. Predictive algorithms enable technicians to pre-empt and resolve incidents. It provides the status of tickets through dynamic visualization and uses statistical models on past incidents to help assign accurate estimated time to resolve issues thereby improving customer satisfaction.
GAVel’s Service Intelligence component prevents occurrence of critical business incidents due to infrastructure or application issues, through effective use of prescriptive and predictive algorithms. The monitoring logs provide insights into event patterns and critical thresholds that could result in detecting a future outage. This helps in proactive remediation and drive increased uptime of systems.
GAVel's Social Analytics platform provides organizations with insights on their workforce and also how to attract new talent. It allows the organization to understand their employees better and in real time and accurately measures the user satisfaction.
The customer is the largest voluntary, not-for-profit health care system providing more than one million patient visits annually. They are the leading hospital that provides quality health care using latest technologies. GAVel helped the customer improve the uptime of their systems by 20% and reduce the number of issues by 35% by using its predictive analytics capability to analyze human intelligence data & machine data to provide prediction on potential issues.