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Sensor Data Analytics: Helping Manufacturing Companies to Uncover New Opportunities

Aug 27, 2019

With the growing popularity of digital platforms, customers, suppliers and business partners need greater agility, speed, and scale from manufacturers. As a result, there is a need for fully integrated and collaborative manufacturing systems that can respond in real-time to meet the changing demands and conditions in the supply chain. This is where sensor data analytics can help. Sensor data analytics has enabled companies to drive greater possibilities for different kinds of distributed data sharing and analytics. It can help manufacturing companies to extract actionable insights from embedded sensors to drive organizational improvements and profitability. Also, disparate and deployed industrial assets and connected devices can provide manufacturing companies with a unique touchpoint to real-world operations and conditions.

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Benefits of Sensor Data Analytics for Manufacturing Companies

Benefit #1: Optimize production and enhance efficiency

Manufacturing companies have a plethora of data sets which are mostly underutilized as intricate access makes valuable insights sluggish. Sensor data analytics can add a new dimension to such datasets with connected assets and sensors. This can, further, help manufacturers to quickly capture, cleanse and analyze machine data. Consequently, valuable insights can be derived that can help optimize production and enhance the efficiency of performance.

Benefit #2: Predict machine failure and quality improvement

Sensor data analytics can help manufacturers to make better use of machines. It can help in automating the analysis of data from sensors within equipment and the actual operation of these machines. Also, with the help of sensor data analytics, manufacturers can determine when machines may need to shut off to prevent an issue. Furthermore, sensor data analytics can aid in aggregating data faster by leveraging advanced data management techniques. Consequently, the overall quality of production can be improved, helping manufacturers to build a better plan of action.


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Benefit #3: Facilitate preventive maintenance

In the manufacturing industry, preventive maintenance holds immense importance. Sensor data analytics helps in preventive maintenance by reducing the issues found in devices by triggering alerts based on the data generated by machines. Also, sensor data analytics has the potential to automatically signal the repair of a machine when needed. This further helps manufacturers to take preventive measures and improve the efficiency of machines in the course of conducting business. Therefore, sensor data analytics can empower manufacturing companies to ensure that modern manufacturing processes meet future business needs.

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