Data Science

Sequence utilises innovative methodologies at the forefront of computational statistics and machine learning (ML) to unlock unique insight serving customers both in New Zealand and abroad. Enquire with us to learn more about how we can support your next project.

What is Data Science?

Data science is a field that uses computational statistics and machine learning (ML) tools to extract and comprehend patterns and observations hidden in complex datasets containing potentially noisy or unstructured data. Knowledge provided by data science allows customers to navigate uncertainty and risk, optimise products, and predict future outcomes.

Read related case studies

Machine learning (ML): Achieving Design Confidence in a Plastic Step with Material Uncertainty

Machine learning (ML): Factor analysis and anomaly detection in a chemical plant

We offer data science services with impact across New Zealand and abroad

We offer an extensive range of data science solutions and consultancy services to customers that include:

  • We use Design of Experiments (DoE) to plan and analyse controlled tests to deliver insight within time and resource budgets.

  • Our team can help you identify factors that are most affecting product performance using a variety of Bayesian and/or frequentist methods.

  • Optimal products create the most opportunity; at Sequence, we can use Bayesian optimisation and/or metaheuristics to give your product a competitive edge.

  • We use Bayesian and Monte Carlo methods to quantify uncertainty to help customers manage risk.

  • Our team brings together our data science, CFD, and FEA capabilities to simulate a physical system with a virtual model that saves time and resources.

Our Data Science Services

We understand the challenges complex data poses to our customers and can apply best practice data science methodologies to solve a range of problems including:

  • New product development and engineering design.

  • Fault diagnostics of failed components.

  • Identifying and understanding differences between products and services.

  • Optimization for lightweight structures and object aerodynamics/hydrodynamics.

  • Manufacturing cost minimization.

  • CFD and FEA modelling with input uncertainty e.g. load uncertainty.

  • Design space exploration using a digital twin.

We offer our expertise in Data Analysis to various industries, including:

  • Aerospace

  • Automotive

  • Marine

  • Energy Sector

  • Electronics

  • Construction & Civil Engineering

  • Health Sector

  • Process & Chemical Engineering

  • Water Engineering

  • Architectural & Environmental Engineering