Building Effective Data Governance

The document discusses building effective data governance through a data governance summit. It outlines that business intelligence requires highly relevant applications, reports and dashboards designed to provide users with specific, actionable knowledge from corporate data, which requires an optimized data architecture and governance model. It then discusses what data governance entails, focusing on decision rights, processes and organizational structures governing enterprise information. Finally, it outlines a seven phase lifecycle for building an effective data governance program, including developing a value statement, roadmap, funding, design, deployment, ongoing governance and monitoring.