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Use Cases & Examples
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Using Formulas in Queries
Query formulas are a powerful tool for SIS exports and data integration, making it possible to export your data in precisely the format and layout required by external systems. Query Formula Export Parts can be used to: perform mathematical calcu...
Updated : 26 Jul 2024
Using Formulas In Queries for Student Success
Query formulas are a powerful tool for SIS exports and data integration, making it possible to export your data in precisely the format and layout required by external systems. Query Formula Export Parts can be used to: perform mathematical calcu...
Updated : 22 Nov 2023
Creating Default Query Builder Templates
This article explains how to create Query Builder templates that will preset fresh queries with the most commonly used filters and exports. Each template is defined by the settings in a default query that establishes the preset filters and exports b...
Updated : 20 Nov 2023
Exporting User Information (Fields Using "User" Prompt)
Fields using the "user" prompt—such as the default "Staff Assigned" field—are different than other prompt-driven fields in that they: Aren't created or managed in the prompts tool Connect the field to a user in your database. This allows you t...
Updated : 21 Nov 2023
Associating Pledges to Gifts for Advancement
When a gift is applied towards a particular pledge, the gift inherits the unique ID (called the GUID) of the pledge. Slate stores this unique ID in a field on the gift table called Parent GUID. This association allows the gifts that have been m...
Updated : 09 Nov 2023
Associating Gifts to Pledges for Advancement
When a gift is applied towards a particular pledge, the gift inherits the unique ID (called the GUID) of the pledge. Slate stores this unique ID in a field on the gift table called Parent GUID. This association allows two primary conclusions to...
Updated : 09 Nov 2023
Group By Functionality in Subquery Exports for Advancement
Distinct values in a subquery export can be grouped together using the Groups function and can be helpful in displaying the sums or counts associated with a distinct value, such as how many times a person has given to a particular fund or how much...
Updated : 01 Apr 2024
Consecutive Year of Giving & Sequential Value Groups
A donor’s length of consecutive giving can queried using the special system join of Sequential Value Groups . This join enables identifying a data point (such as a gift's year) that can then be used to count the number of times it appears...
Updated : 05 Sep 2024
Dependent Subqueries and Independent Subqueries
Subquery type is an advanced property of subquery exports and subquery filters in a Configurable Joins query. By default, subqueries are dependent : they depend on the base of the query and use the joins that are available from that base. In ...
Updated : 25 Apr 2024
How Standard IPEDS Filters & Exports are Calculated
The standard exports and filters for IPEDS classification are calculated from three Slate-Standard fields and prompts: Citizenship , Race , and Hispanic . Since IPEDS doesn't consider the race or ethnicity of international students, all internati...
Updated : 21 Nov 2023
Calculating Age in Slate
Overview Age is calculated via Standard Exports and is available in the Query Builder. Two calculations exist: Current Age Based on Birthdate Age (As Of Date) Current Age Based on Birthdate This exports a person's age at the time of...
Updated : 08 Mar 2024
Filtering on Free-Text Fields
Filters for text-driven fields are not automatically generated. Generally isn't a reason to filter on free text. Free-text fields can store unlimited variations of a single response. Typically exports are all you'll need for a free-text field. Howe...
Updated : 21 Nov 2023