As enterprises try to effectively aggregate and analyze the massive amounts of sensor data across different devices, they struggle to:
Correlate huge data sets from multiple data sources and formats
Run analytical models to derive meaningful insights on traditional systems
TCS Sensor Data Analytics IoT Framework (SDAF) helps enterprises address these challenges to generate actionable insights.
rapidly collect, pre-process, store, and analyze huge volume of machine data.
The framework offers:
Real-time data acquisition from sensors, devices, and equipment using standard IoT protocols MQTT and XMPP
Edge analytics to control and monitor connected devices
Large scale data transformation and processing using the power and agility of Big Data
Real time analytics to generate and view insights, alerts and visualization
Data correlation engine to improve decision making by rule processing and event correlation
Data analytics engine with the MapReduce paradigm of Big Data processing
Machine learning algorithms to build industry specific applications, such as frequent pattern mining, failure prediction, time to failure, demand forecasting, etc.
Reduce time to market with inbuilt capabilities
Receive insights by monitoring IoT devices in real-time
Improve the relevance of decision making with cross functional insights
Reduce support, maintenance, and upfront investment