...or die by the user’s ability to find what they need, so search and navigation are key to early user buy-in and adoption some tools have excellent metadata ingestion and...
...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...
...in seeing how the user needs for the manual have changed. This is especially important in the age of Government as a Platform. A digital infrastructure shared across government needs...
...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...
...duplicating some of the data. Not only was this increasing the time it took to put the data together it was increasing the time it took for the intended recipient...
...general introduction to data science, we recommend Wikipedia, the Data Scientist’s Toolbox and Data Science Central. Drew Conway's diagram is an introduction in itself... Choose a project This is perhaps...
...for teams within the Ministry of Justice who would like to undertake quasi-experimental impact evaluations using propensity score matching. Get in touch If you’d like to learn more about the...
...digital inclusion and social wellbeing activities need to be easy for users to find and interact with. They need to get the right information as quickly and efficiently as possible....
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