A finger pointing at a digital screen displaying a chart.

Weather Sensitivity Analysis for business

What is a Weather Sensitivity Analysis (WSA)?

A weather sensitivity analysis is a scientific approach that identifies and measures how various aspects of the weather affect specific business outcomes or drivers – footfall, consumer behaviour and demand, retail, supply chains, the value of a commodity, maintenance activities, logistics, or even marketing campaigns, to name a few.

While WSA establishes a correlation between aspects of the weather and business performance, and then quantifies it, a weather intelligence model can be integrated into your business operations and help you:

  • improve business performance
  • refine corporate planning and reporting, by turning anecdotal evidence into clear business drivers
  • optimise the supply chain
  • predict short- and long-term fluctuations of the value of a commodity or to protect critical assets
  • better understand consumer behaviour in relation to the weather
  • decide the timing of marketing campaigns or maintenance activities
  • reduce operational costs through improved efficiency and confident decision-making
  • prepare for impactful events driven by the weather

How does a Weather Intelligence Modelling (WIM) work?

WIM is a valuable tool for large-scale businesses who wish to improve operational efficiency, make critical decisions earlier, and manage risk better.

For example, it can be calibrated to predict imminent changes in the value of a commodity, identify the best weather window for maintenance work up to 14 days in advance, or control your supply chain and assets more effectively. Climate change and extreme weather scenarios can also be incorporated to inform contingency planning and make your business more resilient.

Why commission a weather sensitivity analysis when I already have a team of analysts who can access weather data for free?

Many organisations employ business consultants, statisticians and analysts who can access weather data, sometimes for free, and then integrate it with their own business data. So, why ask us for a Weather Sensitivity Analysis?

Simply put, as the UK’s National Weather Service our knowledge of the weather is unique. A meaningful weather sensitivity analysis is not just about crunching data. Our understanding of weather patterns adds real value and meaning to the analysis.

Secondly, we know which dataset is the most appropriate, because we produce them in the first place. Our team of world-class scientists has sector-specific industry experience and use a multitude of datasets: model data; long-term data; postcode data; gridded model data; observations from radar and rain gauges, and more.

Thirdly, we apply the latest statistical and post-processing techniques to present the resulting data in the correct format and time periods that are adapted to your business needs – tomorrow, a week in advance, or next season.

Finally, if required, we can use the results from a WSA for developing a Weather Intelligence Model (WIM) and build a predictive model tool to help you visualise bespoke weather thresholds for specific business outcomes or sharp fluctuations in the value of a commodity.

Weather consultancy

Our scientific consultants bring practical solutions to commercial and public organisations operating in many sectors of activity: retail, insurance, air and surface transport, offshore and marine operators, energy and renewables, infrastructure and construction, sports and leisure events, agriculture and horticulture, and more.

They work with you to understand pain points and use applied science and business meteorology to address sector-specific challenges.

Contact us for a free initial consultation.

 

Get in touch

Call us

We are available 24/7.

0370 900 0100

Email us

Fill out this short form and we'll get back to you.

Contact Us form

Follow us

Linkedin X

Get in touch

Call us

We are available 24/7.

0370 900 0100

Email us

Fill out this short form and we'll get back to you.

Contact Us form

Follow us

Linkedin X