This section evaluates how data is used across the organization to support decision-making. It provides visibility into reporting, metrics, data consumption, and analytical maturity, highlighting gaps and opportunities for improvement.

Framework Description

Create a table that centralizes metrics ownership, definition, consumption, and the type of analysis performed for each business area. Example structure below:

Metrics Ownership by Department

Department Key Metrics Owned Metric Definition Owner Data Source Data Consumers Type of Analysis Decision Usage
Marketing CAC, ROAS, Leads Cost per acquisition, ad performance, lead generation Head of Marketing Ads platforms, CRM Marketing, Executives Campaign performance analysis, funnel efficiency Budget allocation, campaign optimization
Sales Revenue, Conversion Rate, Pipeline Sales performance and funnel efficiency Sales Director CRM Sales, Executives Pipeline analysis, forecasting, conversion analysis Forecasting, deal prioritization
Product Retention, Activation, Engagement User behavior and product usage quality Product Manager Product analytics tools Product, Executives Cohort analysis, behavioral analysis, funnel drop-off Feature prioritization, UX improvements
Finance Profit, Margin, Cash Flow Financial health and profitability CFO ERP Executives Financial analysis, variance analysis Budgeting, financial planning
Customer Support NPS, Ticket Volume, Resolution Time Customer satisfaction and support efficiency Support Lead Helpdesk tools Support, Product, Executives Sentiment analysis, operational efficiency analysis Service improvement, churn reduction