Data Governance for Utilities

More companies are coming to terms with the fact they need to have a data governance function to manage their data effectively and efficiently. Data programs such as Master Data Management (MDM), Data Quality Improvement, Process Improvement, Regulatory and Compliance efforts, and Data Warehouse/Data Lakes require robust, well-planned data governance. The overall Data Governance program needs policies and standards, a melding of people, process, technology, and data, and an organizational structure to support the effort.

In addition to the overall data governance program, there is a need for expertise and resources to get the work done. The operational aspects of Data Governance are grouped into a "Data Stewardship" function. Data Stewardship, and the people that drive it, need to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. How is stewardship performed effectively with limited resources? What part does stewardship play in Data Governance?

Register today to discover how to set up a data governance function including data stewardship, how to run it, the details of managing the various required committees and councils, recruiting help from IT for technical stewards and tool support, what the duties of the data owners and data stewards are, the decisions they must make, and how to funnel the information from projects into the overall stewardship process.

• Build your data into an informative asset that guides company strategy
• Identify what data governance is, why it matters, and how it strengthens organizational intelligence
• Assess how data governance enables smarter decisions, grows operational efficiency, and creates cross-departmental alignment
• Review how to build a scalable data governance program that addresses real-world challenges using data quality, metadata, classification, access controls, and lifecycle management
• Discuss how to evaluate and select the right data governance tools that scale as your organization grows, adapts to new regulations, and adopts emerging technologies
• Evaluate the skills to diagnose and resolve recurring data issues using governance principles that apply across the organization
• Plan how to align governance initiatives with enterprise goals and KPIs, ensuring your data program consistently demonstrates measurable business value