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Sensor Data Analytics Framework


TCS Sensor Data Analytics IoT Framework

Support for advanced analytics at edge, real-time, and batch.



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.

TCS Solution

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

What's your challenge?
Let’s work together to solve it.
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