Industrial Data Analytics Awakening: Leveraging Open Source Technologies for the IoT

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In the ever-changing landscape of Industrial Internet of Things (IIoT) data analytics, companies are constantly looking for innovative solutions to unlock the full potential of their data. At IAS, we specialize in IIoT data analysis and integration, empowering companies to make data-driven decisions. In the post below, we explore the evolution of data analytics and why old legacy methods are no longer the preferred choice, showing the benefits to the industry of using open source technologies such as InfluxDB, Telegraf and Grafana.
With the advent of open source platforms such as InfluxDB, Telegraf, and Grafana, companies gained access to powerful, scalable, secure, and cost-effective solutions for collecting, storing, and analyzing data from IIoT devices.
To further emphasize the safety and reliability of open source technologies, we highlight that giants like Tesla use technologies like InfluxDB for real-time monitoring and analysis of vehicle telemetry data, enabling proactive maintenance and optimizing vehicle performance.

The Importance of Industrial IoT Data Analytics


Today, manufacturing plants are equipped with numerous sensors, actuators, and interconnected devices collectively known as the Industrial Internet of Things (IoT). These smart technologies generate a wealth of data at every stage of the manufacturing process, paving the way for a new era of data-driven manufacturing. In this era of digital transformation, data is more than just an operational byproduct—it's a strategic asset waiting to be unlocked. At IAS, we specialize in harnessing the power of data analytics to gain actionable insights and optimize manufacturing operations. But what exactly can data analytics bring to manufacturing companies?