amie use-case: data-driven winemaking
Combining data-science and laboratory research is challenging. The data scientists need to have access to the latest results and feed their analysis back to the researchers, so they can decide on the next steps. Both need an overview of what is going on and get quick access to structured data. Here we show how amie's data-driven narratives help a winemaker, a chemist, and a data-scientist establish a fully reproducible and transparent workflow.
Francesca is a winemaker in Red Country, Denmark wondering whether a data-driven approach can help her make the best wine possible. She manages a team consisting of an analytical chemist Fritz and a data scientist Anders. She collects a list of popular wines and asks her expert sommelier friend to rate them. She then sends samples of all the wines to Fritz for analysis. amie allows her to structure her plan and document her data to quickly share it with her team.
Fritz is a chemist that has been performing analysis on wine for ages, he’s up to speed with tech so he controls his experimental equipment with python (check out his Jupyter notebook here). amie integrates with experimental equipment capturing data and metadata automatically. Fritz shares all the data with the team: Anders can immediately start mining the data.
Fritz can easily get an overview of what the parameters were and he can identify that the temperature of the cellar had a spike! He then redoes the measurements. Anders sees the new data and can quickly re-run that analysis notebook. Francesca does not have to torment the team asking for updates as she can follow their progress.
Francesca is traveling around and can at a glance get a feeling of what’s going on in her team. She can see that a mistake was made: it happens all the times when dealing with cutting-edge research and development. Anders keeps developing his advanced models. Back in her vineyard, Francesca has a relaxed meeting with her advisory board where the overview Anders created helps them decide which wine to make based on the data collected and analysed.
