BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240328T203120Z DESCRIPTION:Click for Latest Location Information: http://dgiq2020.datavers ity.net/sessionPop.cfm?confid=139&proposalid=11875\n
Accurate business re porting and data analytics can only be achieved using high-quality data. Ye t many organizations either do not have a data quality program, or they jus t focus on standardizing source data. Having a complete, ongoing program to measure, monitor, and improve the quality of data is a competitive advanta ge for an organization in today’s data-driven economy. This tutorial is primarily for participants starting a comprehensive data quality program or wanting to assess and improve the capabilities of an existing data qual ity program.
\nParticipants will learn:
\n\n The definition of data quality\n The principle of managing information as product\n What we can learn from manufacturing Total Quality Management (TQM)\n Supply-side versus demand-side data quality management\n The ISO 8000-61 Model for data quality management\n How to make a business case (ROI) for data quality\n The basics of data quality analysis\n Introduction to the Data Quality Assessment Framework (DQAF)\n Hands-on exercises\n\n DTSTART:20201207T083000 SUMMARY:T5: A Roadmap for Building a Successful Data Quality Program: How t o Get Started, and How to Assess and Improve What You Have DTEND:20201207T114459 LOCATION: See Description END:VEVENT END:VCALENDAR