Statistical consulting data automation
Better quality decisions from complex data.
D4Q helps quality, manufacturing and process-development teams apply statistics, design effective experiments and automate analytical workflows using JMP and JSL, with R, Python and other suitable technologies where they fit. Modern AI tools can make tailored automation faster to develop and more practical to deliver.
01 / The opportunity
Make previously impractical improvements achievable.
Manual reporting, fragmented data and limited process visibility often persist because tailored solutions seem too costly to develop.
AI-assisted development can reduce that effort, making it practical to revisit improvements that were previously put on hold. D4Q combines statistical expertise with tailored automation to help reduce repetitive work, improve visibility and support consistent quality decisions.
Start with a specific workflow, test a focused solution and refine it around the people who will use it.
02 / What D4Q does
Expertise that moves
work forward.
Applied statistics
Analyses, calculations and interpretation for quality, engineering, qualification and validation work.
↗ 02Design of Experiments
Efficient experimental strategies that build process understanding and support optimisation.
↗ 03Analytical automation
JMP and JSL workflows, with R, Python or other suitable tools where appropriate. AI can accelerate development of tailored solutions.
↗ 04Quality support
Flexible statistical input for process validation, design transfer, product reviews and related activities.
↗03 / Why D4Q
Specialist expertise,
applied directly.
- Direct collaboration with the consultant doing the work
- Statistical methods adapted to the technical context
- Deliverables designed for practical use
- Support from focused assignments to longer engagements
Start with the decision
What would you improve if
development took less effort?
Tell D4Q about a repetitive task, a missing overview or a tool you have put off building. Together, we can identify a practical starting point.
Discuss your challenge