INDUSTRIAL ANALYTICS
Innovation + Technological Mastery + Machine Learning + Computational Power = Business Value
We extract valuable knowledge to make smart decisions.
Apply an advanced treatment to your information and become a disruptive industrial company through 4 different Data Science disciplines:
DESCRIPTIVE ANALYTICS
WHAT HAPPENED?
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 later displayed in reports, variables, comparisons, etc.)
DIAGNOSTIC ANALYSIS
WHY DID THIS HAPPEN?
Here historical data can be compared with other data to identify why something happened. Diagnostic analytics give us detailed information about a particular problem and can help resolve questions that cannot be answered simply by viewing dashboards and reports. You and your team should always have detailed information at your disposal to make decisions in a timely manner.
PREDICTIVE ANALYTICS
WHAT IS MOST LIKELY TO HAPPEN IN THE FUTURE?
It anticipates and suggests what is likely to happen. It uses the findings from the 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 by quickly seizing new opportunities. Its accuracy largely depends on the quality of the data and the stability of the situation.
PRESCRIPTIVE ANALYTICS
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 when automating decision making and recommendations on courses of action that can lead to the desired result. It relies on a feedback system to anticipate the connection between an action and its result.
Through the implementation of each stage and the data processing with machine learning algorithms, we obtain a powerful tool to:
- Discovery of hidden patterns in the process
- Anomaly detection
- Data-driven process organization learning
- Maximize business profitability
- Increasing productivity
- Reduction of stoppages
- Speed of analysis and decision making
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
WHY IS TECNOAP YOUR BEST ALLY?
- We maintain a philosophy of Responsible Innovation.
- We focus on the value of your business.
- We have more than 25 years of manufacturing process improvement and more than 5 years of experience in AI for manufacturing.
- We are part of a large innovative technological ecosystem together with clusters, chambers, universities and associations.
- We integrate a solid team of Industrial Data Scientists with experience in transformation processes.
- We have developed know-how in attracting and training specialized talent.
- We follow a SCRUM methodology adapted to Data Science.
