About D4Q / Independent expertise
Statistics, quality and automation.
An independent Danish consultancy led by Thomas Zelikman, helping organisations use data more effectively.
The practice
Practical application, from the first question to the final output.
D4Q helps organisations use data more effectively through statistical analysis, experimental design and analytical automation using the tools that fit the task.
The focus is practical application: understanding the decision behind the analysis, adapting methods to the technical context and delivering outputs that teams can use in their day-to-day work.
AI is also changing what is practical to automate. Used as a development accelerator, it can help D4Q build tailored scripts and tools faster, while statistical reasoning, engineering judgement and review remain central to the work.
Assignments may include statistical support for development and manufacturing projects, qualification and validation activities, data-import automation, analysis and reporting scripts, experimental planning, robust-design assessments, tolerance stack-ups, or training and knowledge transfer.
Background / The practice
A technical background built around useful answers.
Thomas combines applied statistics and data analysis with software development, mechanical engineering, robust design, process understanding and control engineering.
That combination supports work across product and process development, quality control, process optimisation and analytical automation. D4Q was founded in 2022 to bring this experience directly to organisations working with complex technical data.
Mechanical design and control theory
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