Applications of Data Science for IoT

Welcome to part three in our “A - Z of Data Science in IoT” blog series, where we’ll be exploring the application of Data Science for IoT, otherwise known as IoT analytics. As we move towards a world of 50 billion connected devices, IoT analytics help create new services and business models.

If IoT is the backbone of the infrastructure, IoT Analytics is the key that helps create meaningful insights from the huge plethora of data that comes in everyday from sensors and devices. Here are 5 examples of IoT analytics use cases:

  1. Retail: With 70% of global retailers looking to invest in IoT in order to improve their business strategies, it’s no surprise that IoT is revolutionizing the retail industry. By controlling stock and predicting product demand, retailers can plan orders and maximise demand coverage, ensuring customer satisfaction and improving customer experiences.

  2. Health: IoT wearables, such as smartwatches or fitness trackers, are just a few examples of how IoT is helping to improve our health. By tracking our sleep, steps, miles run or minutes without moving, our devices allow us to analyse our own behaviours.

  3. Smart cities: City planning, transport, crime detection and sustainability are just a few of the processes and services that are greatly improved with IoT analytics. With the use of sensors, cameras and data analytics, ordinary cities are converted into safer, greener and generally more efficient communities.

  4. Connected cars: The application of IoT analytics to vehicles allows manufacturers to improve a number of their business processes. For example, thanks to predictive maintenance, manufacturers can identify vehicle maintenance issues before they occur.

  5. Factories and warehouses: Thanks to IoT analytics in the areas of asset tracking and predictive maintenance, amongst others, factories are moving towards optimisation. Businesses can predict the failure of machinery, therefore reducing maintenance costs, as well as track their key assets in order to prevent the risk of theft and optimise maintenance routes.

Retail tech
Wearable tech
Smart city
Connected car
Smart Factory

Businesses across all industries are therefore able to use IoT analytics to improve their processes, reduce operational costs and improve brand relationships, thanks to these sophisticated analytic techniques.