The Internet of Things (IoT) is generating an unprecedented volume of real-time data from connected devices, creating immense opportunities for businesses to innovate. From smart factories to connected fleets, IoT has become a significant component of digital transformation across industries. However, managing this flood of data and turning it into actionable insights is far from straightforward. Many organizations struggle to keep pace with the speed and scale of IoT, leaving valuable insights untapped.
Every connected device—whether it’s a piece of industrial equipment, a vehicle, or a smart sensor—emits streams of data, often referred to as “heartbeats.” These data points carry critical information about performance, condition, and potential issues. But processing millions of these signals daily, across a growing network of devices, requires more than traditional data management tools. Without real-time analysis and intelligent automation, opportunities for predictive maintenance, operational efficiency, and customer satisfaction are lost.
Additionally, as IoT ecosystems scale, the complexity of managing them grows exponentially. A typical manufacturing operation could involve hundreds of thousands of devices, each reporting data every few minutes. The stakes are high; delays or mismanagement of this data can result in costly downtime, inefficient operations, and missed opportunities for innovation.
This is where an advanced process automation platform makes a difference. By automating the evaluation and response to IoT data, businesses can transition from reactive to proactive operations. Imagine a system that not only monitors the performance of connected devices but also identifies patterns, predicts issues, and triggers immediate actions to resolve them—all without human intervention.
One example of such a transformation is seen in a global enterprise in the equipment manufacturing industry. This company faced the challenge of managing real-time performance data from hundreds of thousands of IoT-connected devices, each reporting back every four minutes. By implementing the Decisions robust automation platform, they were able to initially process 30 million data records daily and proactively maintain their equipment, significantly reducing downtime and enhancing operational safety. As the company scaled, it could process more than 100 million records in the same time.
Built for scalability and intelligence, Decisions empowers organizations, like the customer in the use case mentioned, to harness IoT data effectively. The platform’s rules engine evaluates high-frequency data streams in real time, enabling immediate and precise responses.
Decisions goes beyond data collection to deliver actionable insights and seamless integration across IoT ecosystems. Here’s what sets it apart:
IoT automation isn’t just about operational efficiency; it’s about unlocking innovation, a competitive advantage, and cost savings. With the right tools, organizations can, for instance:
The rapid growth of IoT shows no signs of slowing. As networks expand and devices become more interconnected, businesses must adopt solutions that can scale and adapt to this new reality. Decisions Process Automation offers the intelligence and flexibility needed to thrive in an IoT-driven world, ensuring that no data point is wasted and every opportunity is seized.
Ready to unleash the full potential of your IoT ecosystem? Schedule a demo of Decisions today and discover how automation can transform your operations.
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