IoT monitoring and analytics

Tracking battery performance, turbine production, package delivery status and generally visually monitoring sensor data provides incredible capabilities to the business and their customers. This is usually the first step in any successful IoT project.

Using historical data from sensors to gain insights that can be applied to the current situation creates a major competitive advantage. Predictive maintenance, optimized traffic routing, reduced churn management, and enhanced water conservation are all possible with IoT analytics.

With the speed and velocity of events being generated by sensors, businesses want to act on this data in real time with no human interaction. For example, automatically shutting down a pump if a leak is detected, or changing wind turbine direction based on wind speed, all create an immediate business advantage.

IoT is synonymous with time-stamped data, or time series data since the purpose of any sensor is to measure change over time. To gain insight and act, systems need to evaluate and analyze the data based on timeframes and ranges. The modern IoT data platform needs to be optimized for time series data.

IoT is synonymous with streaming data. Data is created by a myriad of sensors, and each sensor emits a relentless stream of data. The modern IoT data platform needs to be optimized for streaming data and has actionable analytics to find the signal from all the noise.

Sensors capture and emit data in real time. Greater business value is derived if the data can also be interpreted and acted upon in real time. The modern IoT data platform is designed to handle real-time ingestion and real-time streaming analytics.