Innovation + Technological Proficiency + Machine Learning + Computational Power = Business Value
We extract valuable knowledge to make intelligent decisions.
Apply an advanced treatment to your information and become a disruptive industrial company through 4 different Data Science disciplines:
Descriptive analytics is the preliminary stage of data processing, it creates a historical summary to provide relevant information and prepare the data for analysis. It describes the current business situation so that trends, patterns and exceptions become evident and are subsequently visualized in reports, variables, comparisons, etc.).
WHY DID THIS HAPPEN?
Here historical data can be compared with other data to identify why something happened. Diagnostic analytics gives us detailed information about a particular problem and can help resolve issues that cannot be answered simply by viewing dashboards and reports. You and your team should always have detailed information at your disposal to make timely decisions.
WHAT IS MOST LIKELY TO HAPPEN IN THE FUTURE?
It anticipates and suggests what is likely to happen. It uses findings from previous stages to detect clusters and exceptions, making it a valuable tool for predicting future trends. It is a type of advanced analytics to help organizations detect and mitigate potential problems or outperform the competition, quickly seizing new opportunities. Its accuracy depends largely on the quality of the data and the stability of the situation.
WHAT DO WE DO TO MAKE WHAT WE EXPECT HAPPEN?
This stage defines what actions to take to eliminate a future problem or take advantage of a trend. It requires internal historical data and external information due to the complexity of the algorithms it uses to automate decision making and recommendations on courses of action that can lead to the desired outcome. It relies on a feedback system to anticipate the connection between an action and its outcome.
Through the implementation of each stage and the processing of the data with machine learning algorithms we obtain a powerful tool for:
AREAS AND BENEFITS WHERE ARTIFICIAL INTELLIGENCE STRENGTHENS YOUR INDUSTRY
Virtual Sensors: predictors where it is difficult or impossible to measure
Process optimization in terms of productivity, equipment efficiency and production costs
Detection of hazardous operating conditions that could lead to unplanned machine stoppages
Prediction of equipment performance degradation
Detection of risk conditions compromising product quality
Capture the expertise that comes from the experience of masters who are close to retirement.