Stand Up and Holler
2020_Print
https://ufodaa.box.com/s/1rjmoxca8t9ou9l43vtir910ju1lyqn8 74200417878
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  CU_SaveTheDatePostcard Stand Up and Holler Completed  
  1  
  SUH_CUFloorStickers_Toolkit Stand Up and Holler Completed  
  1  
11-22-2019 Save the Date Mailing Stand Up and Holler Completed   Heather Duiser
Annual Giving		   1  
11-22-2019 Pledge Card Stand Up and Holler Completed   Heather Duiser
Annual Giving		   1  
12-16-2019 Challenge Donor Fracture Gift Stand Up and Holler Completed   Claire Burns
Donor Relations		   1  
01-10-2020 HollerPosters Stand Up and Holler Completed  
  1  
01-15-2020 Handwritten Thank You Notes Stand Up and Holler Completed   Claire Burns
Donor Relations		   1  
01-15-2020 Thank You Postcard Stand Up and Holler Completed  
  1  
01-24-2020 Donor Signature Art Stand Up and Holler Completed   Heather Duiser
Annual Giving		 Renaissance Printing 1  
01-24-2020 Membership Mail Piece Stand Up and Holler Completed   Grace Castro
Annual Giving		   1  
02-14-2020 Advancement Punch Card Stand Up and Holler Completed   Claire Burns
Donor Relations		 Renaissance Printing 1  
TOT               11  
Created on April 22, 2019 at  2:04 PM (EDT). Owned by Clemen, Katie.
Katie Clemen
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.

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