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DTSTAMP:20260518T120803Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2021.datavers
 ity.net/sessionPop.cfm?confid=147&proposalid=13111\nWhat is dirty data?&nbs
 p;What are the consequences? How can you fix it?&nbsp;You&#39;re expected t
 o cleanse data, but very few are trained on how to do it, understand why it
 &rsquo;s needed, or understand the impact and consequences that it can have
  on a business.\nSusan Walsh&nbsp;will share with you how to cleanse&nbsp;d
 ata in your business systems (including spreadsheets!), regardless of your 
 level of experience. She&#39;ll&nbsp;explain why data accuracy and maintena
 nce are&nbsp;so important and how to implement best practices for this.\nTh
 ere are many different tools out there that can help with this,&nbsp;but if
  you don&rsquo;t understand&nbsp;the data you are working with, how do you 
 know&nbsp;if the tool&nbsp;is working?&nbsp;Data quality, data cleansing, a
 nd cleaning are&nbsp;undervalued and underrepresented skills and tasks.&nbs
 p;Not only will this presentation highlight their&nbsp;importance, but it w
 ill do so in a fun and engaging way.\nTakeaways:\n\n
 The consequences of dirty data\n	How to ensure data accuracy\n
 How to cleanse business and personal data\n
 How to normalize supplier data\n\n
DTSTART:20211206T133000
SUMMARY:T12: Fixing Dirty Data in Business Systems
DTEND:20211206T164459
LOCATION: See Description
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