Dashboards support monitoring and decision-making, but growing dashboard portfolios can become difficult to manage. Within Bayer’s Data & Digital environment, dashboards were distributed across different BI platforms and responsibilities. This created challenges such as unclear ownership, inconsistent usage monitoring, documentation gaps, handover difficulties, and missing criteria for deciding whether dashboards should be kept, improved, handed over, retired, or archived.

The study followed an applied qualitative approach. The current dashboard environment was analysed through recurring client meetings, internal dashboard-related materials, usage monitoring information, and an expert interview with a Data & Digital strategist. These findings were combined with literature on dashboards, lifecycle management, governance, ownership, Self-Service BI, and relevant lifecycle and governance concepts to derive the requirements for a practical dashboard lifecycle framework.

The result is the Advanced Dashboard Care Framework. It structures dashboard lifecycle management into five stages: Registration and Ownership, Monitoring, Lifecycle Evaluation, Lifecycle Decision, and Action and Follow-up. These stages are supported by Continuous Governance and Review. The framework helps organizations document dashboard information, clarify business and technical ownership, monitor usage, evaluate dashboards beyond usage metrics, and make transparent decisions such as Keep, Review, Improve, Handover, or Retire. It is expected to improve consistency, accountability, decision traceability, and long-term dashboard management. Since the framework was not implemented over an extended period, its long-term effectiveness should be evaluated through future piloting and practical use.