An introductory data and analytics course for iGaming, about analysis that changes decisions rather than reporting for its own sake. It covers the decisions an operator's analysis should support, the data sources an operator holds and how each tends to fail, defining core commercial and player metrics precisely and keeping a metric dictionary, cohort analysis and working with the heavily skewed distributions gambling data produces, which comparisons can support causal claims and how to design experiments, reporting built for a defined audience and decision, and data quality, governance and the ethics of using player data.
Written for analysts and new data team members, and for managers in marketing, product and finance who commission analysis and need to judge whether it can be trusted.