DATA SCIENCE
Transforming data into strategic intelligence
At Cojali, we apply advanced Data Science methodologies to transform the data generated by connectivity systems, diagnostics tools, and technical support records into strategic intelligence. Our approach helps anticipate failures, improves product reliability, and optimises after-sales services, giving manufacturers the ability to make informed decisions that increase operational efficiency and market competitiveness.
It optimises decision-making
In the industrial automotive sector, Data Science is becoming a fundamental discipline for the technical, operational, and strategic optimisation of the product. At Cojali, we apply advanced data analysis methodologies to extract significant value from large volumes of information generated through on-board connectivity systems, diagnostics tools, and technical support records.
This analytical capacity allows:
- Accurately understanding the actual behaviour of systems on the field.
- Detecting anomalies or usage patterns that affect the product reliability.
- Developing predictive models that anticipate failures and maintenance needs.
- Providing specific recommendations for continuous improvement of design and technical support.
By integrating techniques such as machine learning, statistical analysis, data mining, and advanced visualisation, we transform complex data into actionable intelligence that supports informed decision making throughout the vehicle life cycle.
Data management in connected assets
The advanced connectivity of commercial vehicles enables the continuous and structured capture of operational and technical data. At Cojali, we manage this information through robust platforms that guarantee the quality, integrity and security of the data collected.
Our approach facilitates:
- Multidimensional correlation of mechanical, geographical, and operational data for contextualised analysis.
- The generation of specific key performance indicators (KPIs) for each type of asset and use.
- The implementation of comprehensive after-sales services that are based on objective data to improve efficiency and reduce operating costs.
This holistic view of the asset in the field enables manufacturers to optimise life cycle management, anticipate risks and maximise the value of their fleets.
Data derived from diagnostics solutions
Diagnostics tools used in commercial vehicles generate a significant source of technical data which, if properly exploited, can drive substantial improvements in product and service.
At Cojali, we apply advanced data mining techniques on a basis of truly meaningful numbers:
- More than 123 million fault codes recorded and 77 million connections made to control units
- Coverage of 725 brands, 13,839 models and 52,848 systems
- More than 50,000 devices connected around the world
This extensive data network allows us to:
- Identifying fault patterns and wear that are not evident in conventional analysis.
- Detecting operating conditions that affect the durability and performance of components.
- Building reliability models based on real data to anticipate problems before they occur.
This strategic data analysis supports R&D and quality control processes, facilitating evidence-based decisions.
Strategic transformation of data into tangible results
Detailed reports
Identification of regional trends and fault patterns for accurate and contextualised analysis.
Operative assessment
Analysis of the impact of use and maintenance on the service life of vehicles.
Software optimisation
Recommendations to improve and update diagnostics tools and embedded systems.
Tailor-made services
Data mining, predictive modules specialised consultancy.
Incidents reduction.
Reduction of critical on-road failures by up to 25% through predictive maintenance.
Continuous improvement
Accelerated improvement and redesign of key components to optimise performance and reliability.
Increased competitiveness
Increased operational efficiency and market adaptability based on data intelligence.
