Data-Driven Design

Data-Driven Design

By informing our design process with rich data sets, we’re delivering the best solutions to our client using new methods of design practice.

Data-driven design translates clients’ data into useful information to expedite the decision-making process. Since data is an abstract representation of information, it’s our job to find the patterns — combining art and science for a better understanding in order to provide the right answer to client questions.

Working interactively with clients is increasingly enhancing the design process, and utilizing data-driven design to help make certain design decisions in real-time is the key. As a data-driven approach proliferates throughout the company, and a culture of data augmentation and design assistance grows, we can support decisions by referring to similar projects and using existing information to inform the delivery of a project, keeping it on time and on budget. Clients can feel confident with their decisions because they have been a decision-making partner from the beginning of the design process.

Dive into the Technology

See how data informs design in our book, Data Driven Design

What is Data-Driven Design?

computational design
Computational Design

Combining the art of iterative design and the science of complex analysis with the efficiency of automated workflows optimizes formal exploration, high-performance design, planning excellence and technical execution. Data is seamlessly woven into the design process, creating a stirring narrative that enables the discovery of novel design solutions.

predictive analytics
Predictive Analytics

Integrating all available information, using sophisticated methods and building flexible models tailored to each client’s unique situation creates a data-driven foundation for planning and decision making through location analysis, predictive modeling and capacity modeling.

operations design
Operations Design

Repeatable and reliable processes are paramount to efficient operations. Developing a deep understanding of current state operations and aspirational future state operations enables the design of new operating models that minimize waste and variation using techniques such as Lean process design, virtual simulation modeling and iterative facility design creating an intentionally designed experience.

Driven Leaders

Computational Design Principal
Computational Design Lead
Director, Consulting