Transforming Manufacturing Data into Insights with IoT Analytics
Four Recommendations by Gartner

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According to Gartner, by 2021, 70% of factories will leverage insights from IoT data, up from 20% today.

Organizations have been embedding sensor-based technology in their devices for many years without fully realizing their potential. Many of the machines used in manufacturing could signal distress with a sensor and address the problem before the machine stopped working, thereby avoiding downtime. Today, due to the proliferation IoT, modern data processing technologies, and the availability of analytical forecasting models, the entire manufacturing value chain can take advantage of sensor-based technologies.

However, manufacturing functional, supply chain and C-suite leaders are faced with the following challenges:

  • IoT data is not fully utilized because of the sheer volume of data being generated by several devices, like sensors and actuators
  • Manufacturing leaders have a difficult time making quick and actionable business decisions due to inaccurate blending of operational technology (OT) and IT data
  • Manufacturing data is distributed among fragmented operational manufacturing systems and this fragmentation is problematic to process IoT data into insights

Download this ebook to learn how manufacturing functional, supply chain and C-suite leaders can achieve role-based business insight by leveraging swarm IoT data.