...we were able to about the detailed groups. However, if there is user interest we will consider producing summary reports for the five main groups, to provide a more comprehensive...
...quite reasonable to comment on the combined Asian group. In other datasets it makes little sense because the data for the different Asian ethnic groups is quite different. For example,...
Mixing methods is an approach to research which combines quantitative and qualitative data. Haur and Louise describe how they have used this approach working in the EU Exit Citizen Readiness team at GOV.UK. As a performance analyst, I (Haur) predominantly …
We want to start a data revolution focusing on service delivery and improving human experience. Find out what we think government needs to do and how you can help.
Data democratisation is a hot topic for analysts, so at the Government Digital Service we wanted to share how we’ve approached this by understanding teams’ user needs for data and what we’ve learned whilst working with these data sources.
Four years ago we redefined our role in GDS. Since then we've built an active community of practice across government and worked to build a 'data culture' within product teams. Find out what we've done and our plans for the next year.
We're using supervised machine learning to organise all the content on GOV.UK, which means we can do things like create step by step journeys and consider voice activation. Here's what the data science team did.
Digital analytics and other data sets tell us what is happening, and user research helps us understand why. So, working together, our two disciplines can provide richer insight for our colleagues in multidisciplinary teams. In October, between 70 and 80 …
I’m Catherine Hope and I lead the team of Digital Performance Analysts working in Newcastle on the DWP’s retirement provision services. I’m also the DWP’s Data Presentation Champion, and get very excited by charts! I’m going to tell you about …
The Better Use of Data (BUOD) team at GDS helps government departments apply data science techniques to policy and operational problems. Most technical work is done at GDS, but sometimes we embed people in teams across departments - including a …
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