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DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14322\nThere may be many c
 hallenges with implementing data quality, like:\n\n
 Why should I do data quality - fix it at the source!\n
 Too costly, time-consuming, resource-intensive\n
 How to embed and improve data quality management culture\n\nCommon Challeng
 es\nChallenge 1: Why should I? It’s not my problem.\n\n
 Solution: Couple data quality with data governance. Define roles, and respo
 nsibilities.\n
 Decisions, escalations, promote metadata management to identify, resolve is
 sues.\n\nChallenge 2: Doing data quality is costly, time-consuming, and res
 ource-intensive.\n\n
 Solution: Focus on issues vital to your business. Implement centralized or 
 decentralized services. Use the right technique: Pareto, Fishbone PDCA.\n\n
 Challenge 3: How can I cultivate and ingrain data culture?\n\n
 Solution: Develop measurement framework, educate, and stimulate data cultur
 e. Provide tools and train users to promote adoption.\n\nKey Messages:
 \n\n
 Integrate Data governance with data quality – short and long-term win
 -win for all\n
 Identify and resolve business critical issues with the right tools and tech
 niques\n	Promote a data management culture for a value-driven approach\n\n
DTSTART:20230606T111500
SUMMARY:Data Quality Twists and Turns – How to Move Forward?
DTEND:20230606T115959
LOCATION: See Description
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