📢Facilitate an open forum to allow stakeholders to express their concerns and priorities. 🎯Identify common goals that all parties can align with to establish a shared vision. 🤝Propose practical compromises that incorporate key elements from each perspective. 📊Use data-driven insights to highlight the impact of differing standards on outcomes. 🔄Create a phased approach to implement agreed standards while addressing specific needs. 📝Document and communicate the agreed standards to maintain transparency and commitment.

It's important to bring everyone together to discuss the overall goals of the project and how data quality impacts these outcomes. Identify each stakeholder's main concerns and priorities, and clarify how different data standards can affect accuracy, usability, and decision-making. Use examples or case studies to show the real impact of data quality on business performance. Aim to reach a compromise that meets essential quality benchmarks, ensuring the standards are practical and aligned with the project's broader objectives.

Key Stakeholders not seeing eye to eye on Data Quality Standards or Governance Processes. Differing parties may both have very valid positions. More often than not, both underlying concerns can be met. Facilitate interactive open dialogue, & also privately meet. Tension means that people care, but it should be buttressed by facilitating real world neutral "case" examples that foster "creative" solutions or examples of "partnering" on sensitive issues. Implementing Win-Win Solutions leads to better products & happier data customers! Sustained tension & zero-sum mind frames produce conflict. Where drama prevails, be ready to scope-contain last minute, so called, compromises, & their unintended consequences.