1. Understand users’ needs
Automation exists to make people’s lives easier. Their needs and habits should underpin your connected devices. Exploring IoT data from the field will give you a better idea of how the product functions in a user’s day-to-day life. Maybe you have designed a smart air conditioner or lighting system that includes automation settings based on the weather. If people are overriding these settings to make a manual change, it is a sign that the product doesn’t align with their needs or expectations. IoT data management lets you optimize these smart algorithms by looking at sensory data and the points in time when a user made a change. Then you can redesign or retrain your product to offer a better user experience.
2. Predict asset wear
This also applies to connected infrastructure and assets. Foot traffic will impact a smart bridge or floodgate. IoT data is essential to understand expected wear-and-tear and plan for maintenance and repairs. By conducting this exploration throughout its life cycle, you can also identify if users are operating outside of anticipated patterns. Combined, these insights let you pinpoint areas where the product needs reinforcements or additional features.
3. Enable resource efficiency
The goal of automation is always efficiency but it’s easier said than done if you are working on instinct or assumptions. Data on how customers use your products allows you to make more educated decisions. For example, in a connected building, monitor how people are operating heating and lighting, assess how spaces are used and keep track of any deterioration. This lets you reduce inefficient use of time, space or energy – ultimately saving you money.
4. Create effective systems
Complex IoT solutions consist of many individual devices. Although each of them separately might work to perfection, when working as a system, they can behave in unexpected ways. It’s not enough to simply collect telemetric data from individual devices. The transmission, storing and managing of IoT data enables you to identify problems early on and validate the performance of the overall system.