Infrastructure and Operations Analytics Services

Though the focus of the healthcare industry has been primarily on clinical analytics, however lately, many organizations are coming to realize the importance of operational analytics as well. Effective Infrastructure and Operational analytics will help you to integrate business, clinical, financial, and operational processes for the betterment of patient care.

As a renowned infrastructure and operations analytics company, we provide customized services to meet diverse business requirements. Our services include infrastructure analytics, operational intelligence, predictive maintenance, capacity planning, root-cause analysis, performance monitoring, incident management, log analysis, etc. All these services have contributed to getting insights into IT infrastructure's performance and usage patterns and helped businesses respond swiftly to changing scenarios. We have provided these services to technology companies, data centers, telecommunication companies, data centers, cloud service providers, and more for over two decades. Hence, whether it is about addressing operational issues proactively or utilizing resources optimally, our expertise has helped us maintain 90% incident response acceleration over the years.

Our infrastructure and operations analytics begin with data collection from various sources within the IT environment. It includes servers, networks, applications, and logs. This is followed by ensuring data accessibility and integration for a unified dataset in a centralized repository. Subsequently, we engage in data processing and analysis, applying advanced analytics tools and algorithms to derive valuable insights into performance, usage patterns, and potential issues. This continuous monitoring and analysis form the foundation for real-time performance monitoring, helping us identify bottlenecks, ensure optimal resource utilization, and proactively address emerging issues. We also leverage analytics to forecast potential equipment or system failures before they occur. This proactive approach reduces downtime, optimizes maintenance schedules, and extends the overall lifespan of IT infrastructure components.

Our services are backed by dedicated data scientists, IT analysts, data engineers, system architects, operations analysts, predictive maintenance specialists, data governance experts, etc. They implement advanced techniques, including machine learning algorithms. Prescriptive analytics, advanced pattern recognitions, edge analytics, and more are used to analyze the efficiency and health of IT networks and automate decision-making processes.