Data analysis in network performance management

Network performance within an organization is critical to ensuring faster, more reliable connections, which, in turn, impacts customer satisfaction and internal productivity.

When talking about network performance, we refer to the average volume of data that can actually pass through the network during a given time, including the amount of data that reaches its destinations and that which is lost along the way.

Organizations employing high-performance networks generate more revenue and operational efficiency, since the ability to transmit data quickly and reliably between the different components of an organization allows for more agile decision making, more effective collaboration and faster response to market demands.

Additionally, high-performance networks enable the implementation of new technologies, such as real-time streaming, Internet of Things (IoT) data analytics, and high-performance computing, which require high network performance thresholds to function and innovate in the business environment.

What factors determine the performance of a network?

Network performance can be conditioned by various factors. Some of the key elements affecting the performance of a network include:

Bandwidth. It refers to the maximum capacity of data that can be transmitted through a channel in a given period of time. When bandwidth capacity is limited, users may experience a slow connection and significant delays in data transfer.

Latency. Representing the time it takes for a data packet to travel from its origin to its destination, it plays a crucial role in communications efficiency. Speaking of networks, high latency can generate significant delays in data transmission, directly affecting the quality of real-time connections.

Number of connected devices. With the increase in the number of devices connected to a network, the load on the infrastructure grows as well. This can impact network speed and capacity, especially in environments with many simultaneously active devices.

Wiring quality. The quality of cables and physical network infrastructure can have a significant impact on performance. Issues such as interference, electrical noise, or faulty cables can affect signal integrity and reduce network efficiency.

Network configuration. This refers to the correct configuration of network devices, such as routers, switches, and firewalls, to further optimize performance. Parameters such as IP address assignment, routing, and security policies must be configured according to the needs and demands of the digital environment.

Protocols used. The choice of network protocols can affect performance. Some protocols are more efficient and faster in certain contexts, so proper selection is essential.

How is data analytics used to evaluate network performance?

Data analytics plays a crucial role in evaluating network performance, providing valuable insights into the traffic, efficiency, and overall security of the network infrastructure.

In this context, specialized technologies such as Ikusi Fly and Ikusi Full Visibility With ThousandEyes stand out in monitoring and detecting problems in network operation. Ikusi Fly ensure connectivity at critical points of the business, quickly solving the causes that generate problems in the networks. On the other hand, Ikusi Full Visibility With ThousandEyes is an observability technology that identifies the causes of connectivity incidents in critical devices, applications and systems of organizations.

Both solutions rely on specialized and detailed data analysis to internally understand the network and system behavior. This deep perspective providing for solving failures efficiently as well as optimizing resources to improve decision making.

If you want to learn more about the technologies that boost network performance, click here: Ikusi Fly and Ikusi Full Visibility With ThousandEyes.