Cvent Request Dashboard

Special Events & Engagement

Missy Poole
Director of Special Events and Engagement
mpoole@uff.ufl.edu

Sponsor Info

2022 Gator100 (04-22-2022)
Project: 2022 Gator100 CVENT Registration — Approved by: Missy Poole

Online Registration Launch Date
03-14-2022

Status
Launched

Digital Communications Partner(s)
Martha Jakab

Project updates appear below. To add project notes, click the Edit button in the upper-right corner of this screen.

The original request details are provided for reference only. If you need to make changes, please contact your Digital Team Partner.
2022 Gator100
04-22-2022
03-14-2022
Celebrate world's fastest growing Gator businesses
Cocktail reception followed by awards dinner
400
Number of registrations
Yes
Honorees are allotted two complimentary tickets. Additional tickets or sponsored tables may be purchased. 

Additional tickets are $125 each
Sponsored tables are $2,500 each
100% Non Gift
 
9762
Missy Poole
(352) 392-5489
mpoole@uff.ufl.edu
 
Custom Design
Created on March  8, 2022 at  4:41 PM (EST). Last updated by Jakab, Martha on April 27, 2022 at  4:10 PM (EDT). Owned by Anonymous.
Anonymous
Martha Jakab
Show fields from Show fields from Show fields from a related table
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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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