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DTSTAMP:20260511T181623Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=13968\nNOTE:&nbsp;This&nbs
 p;2-day seminar is continuing&nbsp;from Thursday.\nThe quality of data and 
 information and their impact are of increasing concern in our world today. 
 It is not unusual to find that data quality issues and lack of basic data l
 iteracy prevent organizations from realizing the full benefit of their inve
 stments in business processes and systems.&nbsp;What you do to ensure high-
 quality data will also improve business processes, give you better function
 ing organizations, more skilled people, and make better use of the technolo
 gy you have. Ultimately, with high-quality data and trusted information you
  can better support whatever is most important to your organization, protec
 t its data assets, and manage risk.\nThis course teaches a practical approa
 ch to creating, improving, sustaining, and managing the quality of informat
 ion critical to providing products and services, satisfying customers, and 
 achieving goals for any organization. If you are working on business issues
  where data is a component or have data quality-related issues that need re
 al results, this is the course for you. \nThis course is based on the 2021 
 second edition of the book &quot;Executing Data Quality Projects: Ten Steps
  to Quality Data and Trusted Information&quot;&trade; (Elsevier/Academic Pr
 ess) by Danette McGilvray. Come with your particular needs in mind, be read
 y to participate, practice applying what is learned to your situation, and 
 leave with realistic methods for managing data quality. Included:\n\n
 Concepts and practical application: Concepts provide a foundation for under
 standing data quality. Concepts are put into action through the Ten Steps&t
 rade; Process. Both are needed to apply the methodology appropriately to th
 e many data quality-related situations that attendees will face within thei
 r organizations.\n
 Discussion and exercises (individual and as a group): Attendees will practi
 ce what is learned by applying the steps and techniques to a course project
  of their choice.\n
 Applies to all kinds of data and every type of organization &ndash;&nbsp;fo
 r-profit businesses of all sizes, education, government, healthcare, and no
 nprofit &ndash;&nbsp;because all depend on trusted information to succeed.\
 n\n
DTSTART:20221209T083000
SUMMARY:S3: Ten Steps to Quality Data
DTEND:20221209T155959
LOCATION: See Description
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