This talk explores how we approached this challenge at mx51 armed with lessons from engineering and statistics. We start by defining the optimisation problem formally(-ish) and then applying it to actual decisions faced along the way, including technology selection, warehousing and data lake (both Snowflake), ETL, visualisation and ML-driven insights.
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