Production and process data contain valuable information about product quality, equipment condition and production performance. This service analyses available industrial data to identify relevant patterns, relationships and predictive indicators that can support production optimisation, quality prediction and maintenance planning. Data-driven and AI-based methods are used to assess which information can be reliably extracted from existing datasets and how it can support operational decision-making in manufacturing.
Collected, cleaned and processed industrial data suitable for further analysis
Assessment of data quality, completeness and suitability for the agreed AI or analytical use case
Identification of relevant patterns and relationships in production, quality, machine or maintenance data
Quality, production or maintenance prediction model where supported by the available data and agreed scope
Evaluation of prediction performance, limitations and relevant influencing factors
Recommendations for further data collection, model development or implementation of AI-assisted decision support
Technical report summarising the analysed data, applied methods, results and recommended next steps
Definition of customer needs, analytical objectives and relevant manufacturing use case
Customer provision of representative production, quality, machine or maintenance data together with information required to interpret the datasets
Identification of relevant variables, timestamps, units, labels and available contextual information
Assessment of data completeness, consistency and quality
Data cleaning, preprocessing and preparation for analysis
Exploratory analysis to identify relevant patterns, relationships and potential predictive indicators
Development and evaluation of data-driven or AI-based models for quality, production or maintenance prediction where suitable
Evaluation of model performance and limitations against agreed criteria
Interpretation of results in the context of the customer’s manufacturing process
Recommendations for further use of the data, model development or AI implementation
Manufacturing companies, industrial technology providers and AI solution providers that already collect production, quality, machine or maintenance data and want to use these data for prediction, optimisation or AI-assisted decision support.