Live In-Person Event

Accelerate Innovation with Smarter Experiments

Date: 9 June
Time: 09:30-13:30 CEST
Location: High Tech Campus Eindhoven, Netherlands
Registration: Free, but registration is required.

Struggling with unproductive research methods?

Traditional one-factor-at-a-time (OFAT) approaches are slow, inefficient, and often inconclusive. In today’s fast-paced research environment, you need faster insights and better decisions.

Discover a modern approach to experimentation

Join our seminar to learn how modern data strategies and design of experiments (DOE) can help you:

Learn:

Learn from experts. See it in action.

Get practical examples, ask questions during the live Q&A, and connect with JMP specialists during our Meet the Experts session.

Reserve your spot now! Limited seats are available.

Agenda

Time Topic Presenter
09:30 Registration and Coffee
10:00 Welcome and Introductions

Irma Sejdini, JMP

Jan Käppler, JMP

10:05 The Data Advantage: Aligning People, Processes, and Insight Winfried Theis, Kufuu Consulting
10:20 Uncovering Insights with Data Visualization Manlio Caldara, JMP
11:00 Break and networking
11:20 Accelerate Your Innovation with Design of Experiments Manlio Caldara, JMP
11:50 Process Improvement and Optimization Using Active Learning Hadley Myers, JMP
12:20 Q&A Irma Sejdini, JMP
12:30 - 13:30 Lunch and Meet the Experts

Guest Speaker: Winfried Theis
Kufuu Consulting

Winfried Theis is an experienced statistical consultant and data science expert. He founded Kufuu Consulting in 2025 to support companies in developing and scaling solutions, particularly in connection with energy transition.

The core of his work is helping companies understand what they already know, what they actually need to know, and how they can use this knowledge to improve their business. His focus remains on supporting crucial change management for the sustainable success of any solution.

Before becoming an independent consultant, Theis spent 14 years working at Shell, first as internal consultant supporting product and process development, and also working on scenario modelling and communication. He later became a Data Science Lead and helped build Shell’s data science capability, finding the right data professionals and creating a competency and learning framework to ensure continued growth of said capabilities.

Theis also spent time working at Unilever R&D, supporting consumer intervention studies within the Sensory, Perception and Behaviour Department. He holds a Ph.D. in applied statistics from the University of Dortmund. Currently, he is the President Elect of the European Network of Business and Industrial Statistics.

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