Analytics, BI & decision intelligence

Analytics is where most organizations lie to themselves. They buy dashboards nobody reads, celebrate vanity metrics, and confuse having data with making decisions. This block fixes that. It takes you from modern BI foundations all the way to models running in production, and it treats analytics as what it actually is, a decision engine for the business.

You start with the fundamentals that separate mature data organizations from the rest. Modern BI tooling, the semantic layer that keeps everyone speaking the same language, dashboard design built around KPIs that actually drive action, and self-serve analytics backed by a real data catalog and genuine data literacy across your teams.

Then you move up the value chain. Decision intelligence reframes analytics around the architecture of decisions themselves, with embedded analytics putting insight exactly where the work happens. You get into advanced techniques that finance and the board respect, customer lifetime value, churn prediction, and demand forecasting. And because none of this matters without proof, you learn to build the business case and defend the ROI of every analytics investment you make.

Finally, you tackle the part everyone underestimates. Experimentation at scale, done with real causal rigor rather than A/B theater, and the discipline of running models in production. Drift, monitoring, and MLOps are not engineering trivia, they are the difference between a model that creates value and one that quietly rots.

By the end you will stop treating analytics as a reporting function and start running it as a competitive weapon. That is the standard a CDO is held to, and this block gets you there.