...SAS and Revolution R as their analytical toolset. Stephen explained that their approach to data science was to use multi-disciplinary teams because in practice it is very hard to find...
...my mentee on how to approach and position his problem, how to structure his work, where to look and what to google - every data scientist’s secret. Katie's advice for...
...shared guidance on how to create services that sit on top. What we are doing We’ve done lots of research to find out about our users and their needs. The...
...to think about how to show when content was last updated and how it has changed over time. We also need to make sure the structures are in place to...
...oversimplified view of customer journeys. Anne’s team used individual level data to follow customers through the Verify service, concentrating on customers with “less happy journeys”. They used data to devise...
...is now. Do you have the right tools to capture it? Do you know what to measure and how to measure it? Is it easily accessible by the right people?...
...user need for accurate, frequently updated river level data. This gave rise to February's Flood Hack and fed directly into the cross-government work we've been doing to better address the...
...approach to measuring the extent to which the product is demonstrably meeting real user needs. This should include more use of the available data about user engagement with the platform...
...The programme provides civil servants the chance to access data science tools and data scientist mentors. It’s free to participate in and is open to analysts and aspiring data scientists...
...overview of the basic process digital teams have to go through to get involved with the platform. It explains what data needs to be displayed in every dashboard, and which...
Sign up to get updates direct to your inbox and stay informed about improvements to digital products and services in government.