BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260521T133034Z DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data versity.net/sessionPop.cfm?confid=162&proposalid=15514\nHow can a Data Lead er a) convincingly demonstrate the business value of data, b) align data go vernance and information quality efforts with business goals and c) clearly define success and incent the right behaviors? These are fundamental chall enges and opportunities most Data Leaders struggle with routinely.\n\nParti cipants in this tutorial will learn how to define effective metrics that ar e rooted in vision and strategy and that balance four essential compon ents of effective performance: financial, customer focus, internal bus iness processes, and learning and growth. \n\nThe resulting balanced s corecard provides Data Leaders with a powerful method to monitor progress, achieve their goals, and deliver tangible results. Whether focusing on data governance/data enablement, information quality, data literacy/data a cumen, data-driven decision-making, or any other components of data culture , well-defined KPIs deliver actionable insights about the most important fe atures of a data transformation program. They motivate the desired beh aviors and suggest the adjustments needed to improve results.\n\nThis tutorial will be beneficial to those seeking to enhance the value and effec tiveness of their data governance and information quality programs. Be cause it is very interactive and hands-on, participants will leave equipped with an initial set of metrics and armed with a robust technique to d evelop or polish their existing metrics and turn their aspirations into eff ective action.\n\nTopics include:\n\n Identifying the vital few metrics\n Connecting metrics to organizational goals and business strategy\n Linking metrics to specific internal services, processes, and activities\n Establishing the right accountabilities\n Metrics as the foundation for improvement\n How to avoid the most common measurement pitfalls\n A checklist for metrics quality\n\n DTSTART:20241212T083000 SUMMARY:W3: Defining Effective and Balanced Metrics for Data Governance and Information Quality DTEND:20241212T155959 LOCATION: See Description END:VEVENT END:VCALENDAR