Root cause analysis: the key to accelerating incident resolution

Whenever performance degradation occurs, IOMETRICS® Observability correlates data, patterns and service topology to accurately identify the root cause. Locate the source of incidents more quickly and accelerate resolution with complete context.

What is RCA?

Root cause analysis (RCA) is a capability that enables the identification of issues affecting the performance and availability of applications, networks and infrastructure.

At Datadope, we use a context- and topology-based approach that supports the detection of interdependent events sharing the same root cause.

In addition, we use all transaction information provided in real time, enabling us to analyse the cause of incidents down to code level.

Where can root cause analysis be applied?

Reduce hasta un 80% el tiempo y el esfuerzo necesarios para resolver los problemas (MTTR) porque identifica la causa raíz de forma rápida y precisa, llegando incluso a nivel código.
Reduce hasta un 25% los costes de operación de IT asociados a la detección de incidencias (MTTD).
Mejora la experiencia de los usuarios y protege el negocio frente a interrupciones o degradaciones del servicio. Gracias al uso de Machine Learning, Datadope identifica con precisión la causa raíz de las incidencias y recomienda las acciones necesarias para resolverlas. Así, evita que los problemas se propaguen o se repitan, y optimiza el rendimiento y la disponibilidad de las aplicaciones y redes.
Facilitates collaboration and communication between teams , by providing detailed and visual information about the development as well as the resolution of the problem.

Where can root cause analysis be applied?

Root cause analysis is applicable across multiple industries and is recommended for organisations that prioritise quality, security and efficiency. Some examples by sector include:

Manufacturing

In the manufacturing industry, root cause analysis is essential for identifying the underlying causes of quality defects, production issues, supply chain disruptions and other operational challenges.
It enables organisations to improve product quality, optimise manufacturing processes and minimise unplanned downtime.

Healthcare

Analyse adverse events, patient safety incidents and critical situations. It helps define preventive measures, strengthen protocols and improve the quality of care.

Information Technology (IT)

Identify the causes of technical failures, service interruptions, vulnerabilities and software errors. It facilitates rapid corrective actions and helps maintain stable and reliable systems.

Transport and logistics

Investigate delays, cargo losses, accidents and operational incidents. Identify technical, human and process-related factors in order to improve safety, efficiency and service continuity.

Financial Services

Identify the origins of fraud, transaction errors, banking interruptions and risks affecting data integrity. Strengthen controls, reduce risks and protect business continuity.