A technology company pioneering eye-tracking technology wanted to explore the potential of this tool for early detection of neurodegenerative diseases, such as mild cognitive impairment (MCI) and Alzheimer’s disease (AD). The challenge was to transform raw eye movement data into useful,
Transforming financial reporting with Spark SQL
The retail distribution cooperative needed to improve its data processing and usage procedures, as they were complex, laborious and slow. The previous system prevented the generation of reports in real time, forcing weekly or monthly reports. The entity was looking for
Automation, analytics and control on a single platform
A leading multinational renewable energy company needed a centralized monitoring and actuation system that would allow it to remotely, securely and efficiently manage all of its photovoltaic plants worldwide. In addition, it wanted to secure ownership of the data generated at
Automated Reference Search System (SIBAR)
A leading die and mold manufacturing company needed to optimize the manual process of identifying equivalent references between products from different manufacturers. This repetitive and error-prone task was time-consuming and posed a financial risk of errors. The need to respond quickly
Prediction of wear in railway components
A leading rail vehicle manufacturing and maintenance company needed to accurately estimate the service life of critical components in its fleet. Operating conditions, geographical environment or weather influenced wear patterns, and the lack of a predictive tool made maintenance planning and
Predictive model based on neural networks
In the aluminum recycling plants, the melting process in rotary furnaces was organized in non-standardized casts, depending on the subjective criteria of the people who operated them. This lack of uniformity prevented the automation of the process, hindered energy and operational
Implementation of the Municipal Data Office through a comprehensive Data Governance strategy.
A municipal institution used to manage its systems and applications in isolation, which generated silos of information, duplicated, inconsistent and low quality data. This situation made it difficult to make decisions based on reliable data and limited the strategic value of
Consulting to optimize the management and use of the data
A public administration agency needed to improve efficiency in the management and use of its data, with the aim of developing new projects and more personalized services, as well as improving the quality of its daily operations. The organization was looking