Data modelling and data science rely on quality data in order
to produce robust and valid results.
We work with industry to gather and anonymise data in order to create predictive models. We provide standard data templates and a secure data upload service on our site to facilitate convenient, secure and accurate transfer of data from partners to us.
When we have received the data, we analyse data and carry out standard checks as part of our quality assurance process.
We use statistical tools to visualise the data in order to understand important factors in our models.
Once the data is checked and analysed, we create predictive models that provide actionable information for our partners.
The data is combined with our predictive models in the cloud to provide simple and powerful access to decision making tools for our clients.
As part of an EU FP7 project consortium (Food4me), we are gathering food intake and nutritional profile information in order to provide personalised nutrition advice directly back to consumers. This is carried out through a user-friendly web interface using a Food Frequency Questionnaire (FFQ).