Data, data…. Data. It’s all about the data. It’s the most prized weapon in business. Knowledge is power and through the collection and use of data, businesses will gain significant competitive advantages. Those who do not harness data will be left behind, far behind.
Data, data…. Data. It’s all about the data. It’s the most prized weapon in business. Knowledge is power and through the collection and use of data, businesses will gain significant competitive advantages.
We know more about our customers than ever before. Buying habits, trends, movements. Data is used to enable new and wonderful insights to consumers and business alike.
The Internet of Things will connect billions of new devices over the coming years, enabling more and more data to be collected and drive better decision making, new business models and stream line processes. Data is used to profile our customers today. IoT will enable us to profile our business environments in the future.
Sensors are simply an enabling technology albeit, a key part to any IoT solution and the means of accessing new and highly attractive data. The trick with sensors is to remove friction. For sensors to work in supply chain and industrial environments, they need to work around the existing operation. So often, we have seen IoT solutions that require an operation to be alter or changed to accommodate the technology. Sensor deployments need to be friction-less and require zero change to existing environments. Only then will the enabling technology be deployed.
Entopy has developed an end to end solution that combines all of the key components allowing businesses to bring assets online without friction. By addressing the key challenges, Entopy makes new levels of data easily accessible in a very simple way. This in turn allows business to focus on the use and application of the new knowledge IoT will arm them with.
Bringing physical networks online enables new levels of analysis and understanding. An example would be the identification of temperature spikes at product and supply chain handling unit level is an obvious example. The granularity will ensure data is close enough to product to capture key events. But the use of this same data can help to build a picture of the overall network performance. For example, where, why, how and when temperature spikes occur could point at pinch points within the network that require attention to prevent further spikes moving forward. Given the granularity of data this could be as specific as the unloading process on a particular day.
Another example would be the tracking of a supply chain handling units. Roll-cages have a value and tracking them will prevent loss. However, if that is the sole application, the value equation is centred around the sensor (sensor cost vs cost of roll-cage). If the data could be used in other ways, the value created will grow. With some intelligence, we can learn how active that cage is, how often it cycles (presuming its job it to move goods from A to B), where it sits idle for the longest. Taking this further, the cage could have a virtual twin within the cloud to which inventory could be uploaded. The sensor tracks the cage telling the user where the cage is and what inventory it’s carrying.
These examples show the potential power that can be realised through the IoT. Yes, it starts with the sensor, but the value is created through the use and analysis of the data collected. Removing friction from the collection part will allow businesses to focus on the benefits.
Get in touch today: email@example.com