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Root cause analysis

When a performance problem is detected, we analyze the data for patterns and correlations that indicate the root cause of the problem; to do this we rely on topology analysis to get to the source of the issue.

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Root cause analysis, is a feature that allows you to identify problems that affect the performance and availability of your applications, network and infrastructure. At Datadope we use a context and topology based approach that favors the detection of interdependent events that share the root cause. In addition, we use all the information provided from the transaction in real time, allowing us to analyze the cause of the incident at the code level.

Some of the benefits of using Datadope’s root cause analysis are:

  1. Reduces up to 80% of the time and effort required to resolve problems (MTTR) because it helps identify the root cause quickly and accurately, even down to the code level.
  2. Reduces IT operating costs by up to 25% resulting from identifying incidents (MTTD).
  3. Improves user experience and business impact by preventing or minimizing service interruptions or degradations. Thanks to this, and based on Machine Learning, we at Datadope we can accurately determine the root cause of problems and suggest the necessary actions to eliminate them. This prevents problems from spreading or recurring, and improves the performance and availability of applications and applications.
  4. Facilitates collaboration and communication between teams , by providing detailed and visual information about the development as well as the resolution of the problem.

For all these reasons, the use of root cause analysis is multisectoral, and recommended for companies that prioritize quality, safety and efficiency. Some examples of use by sector where it is applied:

  1. Manufacturing: In the manufacturing industry, root cause analysis is essential to identify the underlying causes of quality defects, production problems, supply chain disruptions and other operational challenges. It enables companies to improve product quality, optimise manufacturing processes and minimise unplanned downtime.
  1. Health and medical care: In the health care field, root cause analysis is used to investigate adverse events, patient safety incidents and other problematic situations. It helps to identify the underlying causes of these events in order to develop policies, protocols and preventive measures to improve safety and quality of care.
  1. Information Technology (IT): In the IT field, root cause analysis is used to resolve technical problems such as system failures, service interruptions, security vulnerabilities and software bugs. It enables IT teams to identify the root causes of these problems and take corrective action to keep systems up and running.
  1. Transportation and logistics: In the transportation and logistics industry, root cause analysis is applied to investigate accidents, delivery delays, cargo loss and other operational problems. It helps to identify the underlying causes, whether in equipment, processes or human factors, and develop preventive measures to improve safety and efficiency intransportation and logistics.
  1. Financial services: In the financial services sector, root cause analysis is used to investigate fraud, transaction errors, banking service interruptions, and other problems related to security and integrity of financial data. It allows the root causes of these events to be identified and appropriate controls and mitigation measures to be developed.

Focusing on IT companies, they use root cause analysis (RCA) to identify and address root causes of problems and faults in their systems, applications or technology infrastructure.

The main goal of RCA is to understand what caused the problem rather than simply treating the symptoms or fixing the problem superficially.

The reasons why IT companies use RCA are:

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  1. Identify recurring problems: RCA helps identify recurring problems that affect systems or processes. By determining the root cause of these problems, companies can take corrective action to prevent future recurrence. This helps to improve the stability and reliability of IT systems.
  2. Quality improvement: : By understanding the root causes of problems, IT companies can implement corrective actions and improvements that address the deficiencies in their systems or processes. This leads to continuous quality improvement, enabling them to deliver more reliable and efficient technology products and services.
  3. Cost savings: By identifying and addressing the root cause of problems, companies can avoid costs associated with repetitive problem resolution. Instead of addressing only the symptoms of a problem RCA allows for more effective problem solving, saving time, resources and money in the long run.
  4. Organizational learning: RCA promotes organizational learning by carefully analyzing problems and documenting lessons learned. This enables companies to valuable insights into their systems, processes and past failures, which can influence future decision-making and the implementation of best practices.
  5. Improved customer satisfaction: By addressing the root cause of problems, companies reduce downtime, improve system reliability and ensure a more satisfying end-user experience. This helps maintain customer confidence and satisfaction, which is crucial to the long-term success of IT companies.

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