As the technical lead on bol.com’s technology platform, he is responsible for how to use BigQuery. For us, this is not simply a way to store a lot of data. This is where the development team stores the data, where the rest of the business can get insights and analytics.
Our analytics use cases range from insights such as product-level margins, pricing and inventory to overall corporate performance. Looking back, we look forward to using machine learning and AI to accurately predict sales.
It is all powered by over 100 IT teams in an autonomous way. Teams can use the internal platform to launch new projects when needed. For example, there are over 2500 cloud projects with scratch space for business users!
We recently discussed with our cloud partner Google how BigQuery can bring as much data as possible directly to business people. Watch me and Bruno Aziza talk about how we do this.