Data analytics

Data Analytics (DA) is the process of analyzing data collected from IoT devices using specific analytic tools and techniques. The intent is to turn large amounts of unstructured data into valuable and actionable information to make sound business decisions. This includes identifying trends and patterns from historical and current data, which is then used to make predictions and adjustments. IoT DA is now being used in every industry, including smart buildings, and is considered a subset of big data analytics.

Figure 5.3 – DA types

Collecting data and performing IoT analytics can be broken down into the following types of analytics:

• Streaming analytics: Real-time data streams are analyzed to detect any urgent situations that may require immediate action. Also referred to as event stream processing, IoT building applications include water, gas, fluid leak detection, air quality monitoring, fire and smoke systems, and secure...