This Excel template is a validation-based tool tailored for France-specific data requirements. Built using VBA, it automates data integrity checks and enforces strict compliance with business rules. The goal is to simplify data management for users who may not be proficient with advanced tools like CRM systems or master data software, while ensuring error-free submissions.
The client expressed a key business challenge:
- Many of their sales and technical staff are not proficient with CRM or master data tools.
- A simplified Excel-based solution was preferred to handle validations directly in a familiar environment, reducing the need for frequent back-and-forth queries.
This template addresses these needs by incorporating most validation rules directly into the Excel file, enabling efficient, error-free data handling.
- Works exclusively on the
Actual Import Templatesheet. - Drop-down options for the
Statuscolumn to eliminate manual input errors. - Clear error messages and color-coded highlights guide users to correct issues quickly.
- Sheet-Specific:
- The sheet name must remain
Actual Import Template. - Insertion of rows/columns is not allowed.
- Header names cannot be modified.
- The sheet name must remain
- Mandatory Fields:
- Must not be blank or exceed specified character limits.
- Missing or incorrect values trigger errors and highlight fields in red.
- Status = Approved:
- All mandatory fields must be correctly filled.
- Missing or invalid data is highlighted in red.
- Status = Reject:
- Only
EANandStatusshould be populated. - Any
France Marketing Contentprovided in this case will be flagged in red.
- Only
- On saving, all errors are summarized for user review.
- Errors must be resolved before the file can be saved successfully.
- Reduced Dependency on CRM Tools:
- Eliminates the need for staff training on advanced tools.
- Allows immediate validation within Excel, minimizing technical queries.
- Efficient Error Resolution:
- Highlights issues directly within the file, saving time for both the client and the service provider.
- Streamlined Communication:
- Reduces back-and-forth client queries for minor data corrections.
- Choosing Status:
- Use the drop-down menu for
Statusvalues (ApprovedorReject) to prevent manual input errors.
- Use the drop-down menu for
- Handling EANs:
- Ensure all rows between the first and last
EANhave valid entries. - Missing
EANswill trigger an error message.
- Ensure all rows between the first and last
- Correcting Errors:
- If data in a row is invalid, delete the row instead of clearing individual cells.
- Saving the File:
- Address all highlighted errors before saving to avoid interruptions.
This template is scalable and can evolve with business needs:
- Enhanced Rules:
- Incorporate additional business-specific validations as requirements grow.
- Localization:
- Adapt for use in other regions with country-specific rules.
- Data Integration:
- Enable API or database connections for automated data input/output.
- Advanced Reporting:
- Add summary reports for frequently occurring errors to improve training and data quality over time.
- Always use the provided drop-down options for the
Statuscolumn. - Avoid adding or deleting columns, as it disrupts the VBA validations.
- Keep
Marketing Contentfields blank forRejectstatus to prevent errors. - Ensure all mandatory fields are filled correctly before saving.
- Protection: The sheet is protected by default to maintain data integrity.
- Password:
password - Protection is reapplied automatically when the file is saved.
- Download the file from this repository.
- Open the file in Excel and start filling out data in the
Actual Import Templatesheet. - Address any errors highlighted in the file before saving.
- Save the file once all validations are passed successfully.
- File Name:
France_Template_Validation.xlsm - Primary Language: VBA for Excel
- Protected Password:
password - Author: Pratyush
This template is an easy-to-use, robust tool for managing France-specific data validation. Designed with the client’s business needs in mind, it bridges the gap between technical expertise and operational requirements, reducing dependency on complex tools while ensuring data accuracy.
For any questions or contributions, feel free to create an issue or submit a pull request.