Agile methodologies and IoT, internet of things

Being agile when making decisions and making changes is essential for a company to be a leader in its sector. Decisions must be aimed at continuous improvement, both in reducing costs or increasing efficiency as well as in innovation and creation of new products that allow meeting a new demand in the market.

Agile methodologies acquire a new meaning and dimension when the foundations of the IoT are applied. Currently, the paradigm of continuous improvement is being imposed, the essence of which is that if you want to improve a magnitude of a parameter, you have to measure it first, that is to say: you cannot improve what cannot be measured.

Industry 4.0 is a hyper-connected and sensorized industry where decision-making can be done quickly.


What happens when you have many variables, measurements or history of these measurements?

How to find patterns, deviations, correlations between these parameters?

How to measure quantities of different nature, with different protocols, on different machines and locations?

How to visualize, interpret and analyze business variables with mechanical or social variables?

How to make important decisions quickly based on what happens in your production?

What if you also want to know what happens in the market to make that decision?


Currently, it is necessary to have mechanisms that help in this measurement and correlation process. New technologies allow the replication and implantation of sensors with admissible costs in a massive way and the capture of information from different machines, tools and systems.

Today, we have the capacity and technology necessary to measure variables and parameters of a very diverse nature.

Not only is it possible to measure these magnitudes that we have mentioned, but we can collect them digitally, process them automatically, translate them into a common language and transmit them safely.

ELLIOT performs the function of the brain of the system, the umbrella that collects this data, and is capable of correlating and determining the degree of descent that some parameters have over others as well as storing them and displaying the history quickly and performing their analytics through innovative techniques for Big Data, analytics, machine learning and artificial intelligence. Thanks to these techniques, it will be possible to detect characteristics such as the seasonality of events and events and it will also be possible to define alerts that will launch orders to activate mechanisms and protocols for action, among others.

ELLIOT. IOT Open Source middleware with high scalability and very fast integration and with the ability to connect with any sensor, device, machinery or existing data source to extract your data.

It allows managing data in real time with high variability over time and advanced analytics using technologies such as Big Data and AI.

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