The Data Analytics Checklist is a practical guide for building a decision-ready analytics practice. It covers 18 actions across decision mapping, data readiness, predictive analytics, real-time insights, self-service analytics, and AI-assisted analytics. Use it to identify gaps, improve data trust, and create analytics capabilities that support better business decisions.

Assess Your Analytics Practice

Review key areas of your analytics environment, including decision alignment, data quality, reporting processes, predictive models, real-time capabilities, and analytics adoption. The checklist helps identify unclear priorities, inconsistent data sources, outdated reporting practices, and gaps that limit the value of analytics.

Build a Decision-Ready Analytics Foundation

Apply proven practices to improve how teams use data for business decisions. The checklist guides teams through governed data access, predictive modeling, real-time analytics, self-service capabilities, and AI-assisted insights to create an analytics environment that is trusted, scalable, and ready for future needs.