CQM helps industrial organisations work smarter, more predictably, and more efficiently. We do this by combining mathematical expertise with domain knowledge and data.
Mathematics as a driver of industrial innovation
With our background in Statistics, Modelling and Data Analysis, we easily navigate domains such as Chemistry, Physics, and Mechanics. Domain knowledge is essential to operate with precision, efficiency, and innovation - whether it’s substantiating decisions or optimally tuning a machine.
Our approach is always context-driven. We adapt models and methods to the specific challenges of your organisation. This results in solutions that are not only mathematically sound but also practically effective.
Quick comprehension thanks to shared language and experience
Our way of working is closely linked to the rich Philips heritage, shared by many of our clients and ourselves. As a result, we speak the same language when it comes to innovation, industrialisation, variation, quality, process improvement, and the V-model. This makes collaboration both easy and effective: we quickly grasp what’s at stake, what’s critical, and where real added value lies.
How can we support you?
From product development to process improvement:
CQM supports industrial organisations with validated insights, intelligent tools, and data-driven decision-making. Explore the themes within this domain:
- Towards a predictable, data-driven development organisation
- First-time-right product development in the food industry
- From customer feedback to substantiated product decisions
- Designing, predicting and monitoring your product's lifespan
- Efficiently setting up and analysing experiments
- Data-driven risk management in quality issues
- Biostatistical support in Clinical Trials
Interested in our approach?
Want to know how we help industrial organisations to innovate faster and smarter?
Get in touch with Peter, or take a look at some of our real-world case studies.
