Martina Cardi

We put a tremendous amount of effort into component design because we know we’ll be using those same components again and again.

written extensively.about the importance of data and analytics in the design and construction industry.

A major aim of design, at least in my view, is to deliver an outcome that fulfils the client’s requirements in the best possible way.It follows that if we can accumulate data about what our clients are seeking to achieve and analyse the data to generate insights to inform our design process, the better the result will be.. UNDERSTANDING COMPLEX PHARMACEUTICAL AND INDUSTRIAL PROCESSES.At Bryden Wood we have many industrial clients who are concerned with transforming raw materials into new products through complex processes.

Our data analysts engage directly with clients to collect information about their processes and produce complex time-based models to simulate them and quantify the required inputs and resulting outputs..This analytical work is diverse, ranging from a recent optimisation study for a pharmaceutical plant in Singapore, to a strategy for scaling up commercial supply of a new product, to investigating the likely production timescales for a future COVID-19 vaccine..

Some might say that it is the role of the client to understand their process and of course that is correct.

However, a client is generally interested only in the process, its technical feasibility and ability to achieve their business needs.Tim’s personal journey from an at-risk youth to a prominent business leader underlines the transformative power of inclusive employment practices.

He underscores the critical need for the construction industry to address workforce shortages through innovative approaches like IPD, which can attract and retain talent by emphasising collaboration and community impact.. 5.Potential for widespread adoption of IPD:.

While discussing the adoption of IPD across the industry, Tim notes the stability and success of this approach based on research and personal experience.The model has shown high success rates in North America, suggesting a promising future for its broader application.