![]() ![]() For example, most of what we do at Brondby is in-house, which takes a lot of development time and effort, but means things can be customisable. We also needed to be able to alter our method whenever we saw fit not only because of a coaching change but also perhaps because of a change in literature or in the understanding of football. If we can’t do that then we are to some extent failing in our job. We knew we had to be independent and flexible, so when the Head Coach came to us with a question on a Monday morning we had the answer before he came with another question on the Wednesday or Thursday. This move into raw data forced us to sit down and have a chat about how we wanted to approach analytics. Then we presented the data to the coaches and scouts (our interactions had gone from being primarily with the physical coach and performance analyst to more of the coaching team and scouting team) in some kind of BI (business intelligence) tool like Tableau and later Power BI. Handling data manually in Excel would have been a strain on manpower, so we started to step into automations, first with the help of Alteryx and later R and Python, which allowed us to schedule jobs and do a lot of automated workflows. We did this by implementing a data infrastructure, primarily in a Microsoft database where we could house our events and aggregate training and match events.
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