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7 Network Efficiency Best Practices in 2024

Businesses navigate complex networks to keep functional systems running smoothly. The challenge arises with the intricate network topology, which often leads to inefficiencies. In this article, we explain the factors affecting network efficiency and provide 7 network efficiency best practices for businesses to operate optimally.

7 network efficiency best practices

What is network efficiency?

Network efficiency refers to the effectiveness with which a network utilizes its resources to process and transfer data. It involves various factors such as bandwidth utilization, latency, throughput, error rate, resource allocation, scalability, and energy consumption. An efficient network maximizes the use of its resources, ensuring fast, reliable, and secure data transfer with minimal waste.

Why is network efficiency important?

Cost Efficiency

Efficient networks reduce operational costs by optimizing resource use, thus preventing the need for unnecessary infrastructure upgrades or expansions.


High network efficiency ensures that business operations are not hampered by slow data transfers, high latency, or frequent downtimes, leading to better overall performance.

Competitive Advantage

Businesses with efficient networks can handle data-intensive applications more effectively, offering better services to their clients and gaining an edge over competitors.


Efficient networks are better equipped to scale in response to business growth, ensuring that the quality of service remains consistent as demand increases.


With growing concerns over energy consumption and its environmental impact, efficient networks contribute to sustainability goals by minimizing energy use.

How to measure network efficiency?

To manage and improve network efficiency, it is crucial first to understand how to measure it. Key performance indicators (KPIs) for network efficiency include:

  • Bandwidth Utilization: Measures the percentage of available bandwidth in use, indicating how effectively the network handles data traffic.
  • Latency: The time it takes for a data packet to travel from source to destination, with lower latency indicating a more efficient network.
  • Throughput: The rate at which data is successfully transmitted over the network, with higher throughput signaling better efficiency.
  • Packet Loss: The percentage of packets that fail to reach their destination, with lower packet loss rates indicating a healthier network.
  • Error Rates: The frequency of errors in data transmission, where a lower error rate suggests a more efficient network.

Tools and software like network performance monitors (NPMs) can help track these metrics, providing insights into your network’s efficiency and highlighting areas for improvement.

Network Efficiency Best Practices

1. Conduct regular network audits

Conducting regular network audits helps identify inefficiencies, bottlenecks, and potential security vulnerabilities. These audits should assess all aspects of the network, including hardware, software, bandwidth usage, and data flow patterns. Based on the network analysis findings, businesses can make informed decisions on: 

  • Upgrades
  • Configuration changes
  • The implementation of new technologies

2. Optimize network infrastructure

For improving network efficiency, ensure that your network infrastructure is optimized for current and anticipated future needs. This might involve upgrading hardware, adopting more efficient networking protocols, or reconfiguring network layouts to reduce latency and improve data flow. Virtualization technologies and software-defined networking (SDN) can offer greater flexibility and efficiency by abstracting networking hardware and providing more granular control over traffic.

3. Implement Quality of Service (QoS) policies

Quality of Service (QoS) policies allow you to prioritize network traffic based on the type of data, its source, or its destination. By prioritizing critical business applications and data, you can ensure that high-priority traffic is not delayed or dropped, maintaining efficiency even during peak usage times.

4. Embrace cloud solutions

Cloud computing can enhance network efficiency by offloading data collection, storage and processing to cloud servers, reducing the burden on local resources. Leveraging cloud services for data backup, software applications, and even networking functions (via cloud-based SDN) can lead to more scalable and flexible network solutions.

5. Focus on security and reliability

An efficient network is also a secure and reliable one. Implementing robust security measures, such as firewalls, encryption, and intrusion detection systems can prevent disruptions caused by cyber threats. Similarly, redundancy, failover systems, and regular backups can ensure that the network remains operational, even in the face of hardware failures or other issues.

6. Continuously monitor and improve network performance

Continuous monitoring of network performance is vital. By keeping a close eye on network KPIs and user feedback, businesses can identify trends, anticipate potential problems, and make timely adjustments. Continuous improvement should be the goal, with regular updates to policies, practices, and infrastructure based on evolving business needs and technological advancements.

7. Leverage network monitoring software

To encapsulate all these practices, leveraging sophisticated network monitoring software becomes indispensable. Such tools provide real-time visibility into your network’s performance, security, and operational status. They enable proactive management, allowing for immediate identification and resolution of issues before they impact business operations.

We have a data-driven articles on the best network performance monitoring tools and network monitoring tools.

For more on network monitoring

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Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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