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
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.