Information sources definition
Once the questions that will lead us to resolving the business problem are established, we work to determine the information sources that will inform the model, as the entire project revolves around the data.
Building the working environment
With the data received from the company and complementing it with other external information, we define our working environment which is made up of primary and secondary variables.
Preparation of the data
Once the working environment is created, it is the time to apply science to the data and convert the information to a format that the algorithms can assimilate.
Obtaining the model
The machine learning algorithms allow us, based on the previously prepared and enriched data, to obtain a model that explains or predicts the behaviour of our business.
The model obtained through the algorithm is translated into business decisions/recommendations.
The work methodology is an iterative workflow with continuous feedback.
Security - confidentiality
At Datacy we are very aware of the value of the data and we are extremely rigorous in maintaining its confidentiality. We never transfer our customers' data to third parties (unless agreed with the customer in the contract for, for example, mass processing in the cloud) and, in the case of working with personal data, this is pseudonymised first.