Analytics & BI
Self-serve analytics, decision intelligence, and BI program maturity.
8 articles
How Airbnb rebuilt metric consistency with a semantic layer
Airbnb's analytics teams were producing conflicting numbers for the same business questions, undermining trust in data across the company. Their response, building Minerva, a centralised semantic layer, offers a precise and transferable blueprint for CDOs dealing with the same problem.
Aug 1, 2026Building a semantic layer for consistent metrics across business units
When Finance reports one revenue number and Sales reports another, the problem is rarely the data itself. This playbook shows CDOs how to build a semantic layer that enforces metric consistency across every business unit, without requiring a full data warehouse overhaul.
Jul 17, 2026Self-service analytics is failing most organizations, and CDOs are partly to blame
Most self-service analytics programs deliver far less than promised, with adoption stalling and shadow IT filling the gaps. The problem is rarely the technology.
Jul 10, 2026Self-service analytics at scale: what CDOs keep getting wrong
Most organizations have deployed self-service BI tools. Far fewer have made them work. Here is what separates the ones that do.
Jul 3, 2026When BI becomes a liability: how CDOs are rethinking the analytics stack in 2026
Most organizations are sitting on analytics infrastructure that costs more to maintain than it delivers in decisions. CDOs who recognize this are already rebuilding around a leaner, faster, and more accountable model.
Jun 26, 2026From dashboards to decisions: why most BI programs still fail to move the needle
Most organizations have invested heavily in business intelligence infrastructure, yet a striking number of decisions are still made on gut instinct rather than data. For CDOs, the real challenge in 2026 is no longer building analytics capability; it's engineering the conditions under which insights actually change behavior.
Jun 18, 2026Beyond dashboards: why most BI programs fail to deliver strategic value, and what CDOs must do differently
Organizations spend millions on business intelligence infrastructure, yet fewer than 30% of analytics initiatives measurably influence executive decision-making. The gap between data availability and data-driven culture is not a technology problem, it's a leadership problem that sits squarely on the CDO's desk.
Jun 11, 2026From dashboards to decisions: why most BI programs fail to deliver business value
Organizations collectively spend billions on analytics infrastructure, yet fewer than 30% of business decisions are actually informed by data. The gap between BI investment and business impact is not a technology problem, it's a strategy problem that falls squarely on the CDO's desk.