IoT Intelligence for 2019 – Let’s Catch Up

We share some invaluable insights on just how IoT is vastly impacting many businesses across varying sectors.

Some key statistics on the use of IoT:

  • 59% of enterprises consider data science and machine learning critical to their business in 2019.  
  • 48% of enterprises say Cloud BI is either critical or very important to their operations, which is an all-time high for the survey.  
  • Marketing & Sales and R&D place the highest levels of importance on IoT today.
  • Manufacturing, Financial Services/Insurance, and Technology enterprises are the most likely to describe IoT technologies as critical to their business.  

These and many other fascinating insights are from Dresner Advisory Associates’ 2019 Edition of IoT Intelligence® Market Study now in its 5th year of publication. Internet of Things is defined as the network of physical objects, or “things” embedded with electronics, software, sensors, and connectivity to enable objects to collect and exchange data. The study reviews organizations’ interest in and demand for applying business intelligence (BI) to IoT data, systems, and processes. R&D and Marketing & Sales departments assign the highest levels of IoT importance, as do larger manufacturing, financial services/insurance, and technology organizations.

A few key insights from the study on IoT include the following:

  • Marketing & Sales and R&D place the highest levels of importance on IoT today, significantly above IT, executive management, and finance. 
  • Manufacturing companies consider these technologies the most critical to their operations than any other industry included in the study.
  • Internet of Things’ importance increases as an enterprises’ size increases, reflecting the higher number of digital initiatives, new products, services, and business models under development large-scale organizations can take on.
  • Enterprises are prioritizing investments in data supply chains and Internet of Things analytics this year. 
  • Those championing Internet of Things adoption or IoT Advocates have more significant expertise and insight into how best to apply big data, data mining and IT analytics to enterprise challenges than the overall sample of respondents.
  • Those championing Business Intelligence (BI) adoption, or BI Drivers, are most often from Operations, Sales, Finance, and Executive Management.
  • 59% of enterprises consider data science and machine learning critical to their business in 2019. 

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