Pacoima
Yes
Yes
Yes
Yes
Yes
How did your BIG Budget Match to Goals?
$8950.00
$11667.92
$10050.00
$9816.57
$8000.00
$1000.00
$8000.00
$2558.45
$2000.00
$8488.45
33531.39
$1862.30
$5818.04
$15045.42
$8060.39
BIG Score and results?
How do we grow social media presence? Upload Board Action; Photos, send to webmaster.
Increased FB followers from 300 to 668, more than 50% increase.
Survey stakeholders about Pacoima Needs.
30+ Neighborhood Watch members (from 8 different groups) attended our Neighborhood Watch Collaborative Needs Assessment Meeting where they met for the first time.
Citywide NC Metrics
2
0
Need more board Participation.
How many meetings was conducted?
18
35
11
National Night Out, Movies at Paocima City Hall (3), Neighborhood Watch Collaborative Meeting, Pacoima Holiday Parade, Ciclavia, Earth Day Cleanup, Pacoima Neighborhood Pride Day, 4th of July @ San Fernando High School, Election kick off, Rally in the Valley.
7
2
Neighborhood Watch Collaborative Meeting with Neighborhood Housing Services and LAPD; Haddon Elementary (school mariachi band performed at Ciclavia); GR818ER's (collaborated with them at Ciclavia); Pacoima Beautiful (collaborated with Ciclavia)
Stakeholder Database
187
242
Yes
2
Month
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When you bring additional fields into a conversion, Quick Base 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, Quick Base finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quick Base 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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