The Evolution
of Data-driven
Data-driven companies are outperforming their competitors on the market through actual data-driven decisions, reliable forecasting and interpretation skills so as to leverage their most important asset: data.
Design
We support our customers throughout the preliminary definition process and we provide expert advice to choose the perfect solutions for each context. Each element is analysed and documented from a technical, operational and functional perspective.
Implementation
Design, fine-tuning and delivery of integration components as well as data handling and presentation are taken care of with an all-round view. We manage the project through DevOps and MLOps techniques, to which we add Continuous Integration, Continuous Delivery and Continuous Training.
Maintenance
Our team dedicated to support, maintenance and technological upgrading handles the existing solutions and performs quality assessments and evolutionary maintenance.
Advanced Analytics
Advanced Analytics involves the systematic analysis of process or production data and statistics. For example, it is used to interpret data related to industrial production or electricity distribution. It also uses statistical models for effective decision-making.
Machine Learning
Machine Learning and Deep Learning (more recent) are a class of data analysis algorithms that are not explicitly programmed but that are able to learn the patterns within the data during their training phase, potentially Big Data.
Robotic Process Automation
Robotic Process Automation, or RPA, is a software solution that can interact with computer applications in the same way as a human operator, thus automating repetitive work processes and making them more efficient. They can also integrate Artificial Intelligence features.
