Let's Go Learn Knowledge Base
Question
What is Clever?
  
Answer

Clever is a service that schools and vendors like Let's Go Learn use to connect districts' student information systems (SIS) to educational vendors. Clever acts as an intermediary data system. It connects hourly to a district's SIS system in order to keep a current copy of information on students, teachers, rosters, and school administrators. Let's Go Learn then syncs nightly with Clever so that its copies of a district's classes and rosters are no more than a day behind. In addition, schools are able to log into Clever and one-click into multiple vendors. This reduces the need for students, teachers, and administrators to remember multiple logins and passwords. But this single sign-on (SSO) is optional. Not all deployments will use SSO. Clever offers its services free to districts. But it charges each vendor wishing to connect to a district a fee per building.

When schools are using Clever to sync with Let's Go Learn, the addition of students must be done at the source SIS of the school district.  Once students are added to the school/district's SIS, Clever will sync it to the Let's Go Learn system. 
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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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