Sylmar
Budget Breakdown
$6380.00
$29620.00
$500.00
$500.00
$0.00
$0.00
Metrics
5
90
20
20
1147
1500
100
Year
Sylmar: Better Informed, Better Prepared, Better Connected.
1) Increase Emergency Preparedness by providing our community with regular updates on what it needs to know before, during, and after a disaster.
2) Participate in the Clean Streets LA Grant Challenge to help beautify our community and improve the quality of life for all of our stakeholders.
3) Identify, in consultation with the Mayor's Homelessness Cabinet, coordinated entry services to address the growing homeless population in Sylmar.
4) Preserve and enhance our community's equine and semi-rural character through events like "Make Your Horse Count."
1) Challenge: Lack of citizen engagement and participation. Solution: Identify and act on relevant issues.
2) Challenge: We don't know all of the groups and organizations that exist within our community. Solution: Identify and collaborate with community leaders to close this information gap.
3) Challenge: Lack of infrastructure to connect with Sylmar's diverse groups and organizations. Solution: Utilize communication methods that meet the needs of our diverse community.
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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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