This assessment is designed to evaluate your organization's analytics capabilities and determine the most suitable analytics structure for your current stage:
Centralized: In a centralized analytics model, a dedicated team or department is primarily responsible for all data-related tasks. This central team handles data collection, processing, analysis, and reporting. All analytics requests are funneled through this team.
Balanced: This approach is a middle ground between centralized and decentralized models. While there is a central analytics team, individual departments or business units also have their analytics capabilities. The central team typically handles complex, high-level tasks and maintains standards, while localized teams address day-to-day, specific analytical needs.
Decentralized: In a decentralized model, individual departments or business units have their analytics teams and tools. These localized teams handle their data needs independently, without relying on a central body.