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Author: fivetran-joemarkiewicz

README.md

@@ -14,9 +14,9 @@
 
 ## What does this dbt package do?
 - Materializes [Sage Intacct staging tables](https://fivetran.github.io/dbt_sage_intacct_source/#!/overview/sage_intacct_source/models/?g_v=1&g_e=seeds) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/sage-intacct#schemainformation). These staging tables clean, test, and prepare your Sage Intacct data from [Fivetran's connector](https://fivetran.com/docs/applications/sage-intacct) for analysis by doing the following:
-- Names columns for consistency across all packages and for easier analysis
-- Adds freshness tests to source data
-- Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
+  - Names columns for consistency across all packages and for easier analysis
+  - Adds freshness tests to source data
+  - Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
 - Generates a comprehensive data dictionary of your sage_intacct data through the [dbt docs site](https://fivetran.github.io/dbt_sage_intacct_source/).
 - These tables are designed to work simultaneously with our [Sage Intacct transformation package](https://github.com/fivetran/dbt_sage_intacct).
 ## How do I use the dbt package?