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This document provides a comprehensive guide on various validation rules applicable within Salesforce.com and Force.com applications, detailing rules for accounts, contacts, opportunities, quotes,
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How to fill out useful validation rules

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How to fill out USEFUL VALIDATION RULES

01
Identify the specific data fields that require validation.
02
Determine the types of validation rules needed (e.g., format, range, completeness).
03
Define the validation criteria for each field (e.g., email must contain '@', age must be between 1 and 120).
04
Implement the validation rules in the appropriate programming language or validation framework.
05
Test the validation rules with various inputs to ensure they function correctly.
06
Document the validation rules for future reference and updates.

Who needs USEFUL VALIDATION RULES?

01
Application developers who need to ensure data integrity.
02
Data scientists who are processing and analyzing data.
03
Quality assurance teams to ensure software meets specified requirements.
04
Business analysts who are responsible for data governance.
05
Regulatory compliance officers who need to adhere to data validation standards.
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Validate rules use business logic to test the value of a field to ensure it satisfies business expectations. Some examples: A table of assets captures the value of a customer's financial accounts. A Validate rule can test that the user only enters positive (> 0) values for each asset and liability.
For example, entering a rule such as >100 And <1000 in the Validation Rule property forces users to enter values between 100 and 1,000. A rule such as [EndDate]>=[StartDate] forces users to enter an ending date that occurs on or after a starting date.
You can use data validation to restrict the type of data or values that users enter into cells. For example, you might use data validation to calculate the maximum allowed value in a cell based on a value elsewhere in the workbook.
The most common types of validation rules are: Required - specifying that a field can't be left blank. Min/max - creating acceptable ranges for numerical data. Type - specifying that a value must be of a particular data type. Pattern - where entered values should follow a specific format.
The validation Rule ensures the data integrity for the objects created within Data Structure. Objects in Data Structure can be created via Folder Actions, Forms, Flows, Page, Dashboards, etc. Validation Rule uses Flows and Rules to trigger custom Validations.
Data validation is commonly used to make sure the user inputs the correct data type. So the user for example cannot type a number into a cell intended for names and vice versa where the user can't type text into a cell intended for numbers.
The purpose of validation is to ensure that a process or system is consistent and documented.
By applying validation rules, you can ensure that the data entered or imported meets specific quality standards, reducing inaccuracies, inconsistencies, and errors in the data. This, in turn, results in a higher overall data quality.

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USEFUL VALIDATION RULES are criteria established to ensure the accuracy, integrity, and consistency of data submitted in various processes or systems.
Organizations and individuals involved in data entry, processing, or reporting must file USEFUL VALIDATION RULES to comply with regulatory or operational standards.
To fill out USEFUL VALIDATION RULES, one must provide accurate information as per the guidelines, ensuring that all required fields are completed and compliant with the specified criteria.
The purpose of USEFUL VALIDATION RULES is to prevent errors and inconsistencies in data, thereby enhancing reliability and quality in processing and reporting.
Information that must be reported includes data elements that require validation, sources of data, the methodology of validation, and results of the validation process.
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