IoT Data Analytics | @ThingsExpo #IoT #M2M #IIoT #BigData #Analytics
from IoT Data Analytics | @ThingsExpo #IoT #M2M #IIoT #BigData #Analytics
As IoT technologies attempt to live up to their promises to solve real-world problems and deliver consistent value for companies, there is still confusion among businesses on how to collect, store, and analyze a massive amount of IoT data generated from Internet-connected devices, both from industry and consumers, and unlock its value. Many businesses that are looking to collect and analyze IoT data are still unacquainted with the benefits and capabilities the IoT analytics technology offers, or struggle with how to analyze the data to continuously benefit their business in different ways such as cost reduction, improving product and services, safety and efficiency, and enhancing customer experience. Consequently, businesses still have the prospect of creating competitive advantage by mastering complex IoT technology and fully understanding the potential of IoT data analytics capabilities.
As IoT technologies attempt to live up to their promises to solve real-world problems and deliver consistent value for companies, there is still confusion among businesses on how to collect, store, and analyze a massive amount of IoT data generated from Internet-connected devices, both from industry and consumers, and unlock its value. Many businesses that are looking to collect and analyze IoT data are still unacquainted with the benefits and capabilities the IoT analytics technology offers, or struggle with how to analyze the data to continuously benefit their business in different ways such as cost reduction, improving product and services, safety and efficiency, and enhancing customer experience. Consequently, businesses still have the prospect of creating competitive advantage by mastering complex IoT technology and fully understanding the potential of IoT data analytics capabilities.
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