
Silje Olsen enhanced data accuracy and maintainability in the navikt/crm-platform-integration repository by enabling support for fractional employee counts, updating the data model from Integer to Decimal, and adapting related handler logic and tests. She clarified address merging logic in Salesforce integration through improved documentation, supporting code health and future maintainability. In navikt/crm-nks-base, Silje addressed a data integrity issue by ensuring that tasks created in the TAG_Log_Call_in_Account Salesforce Flow are assigned the correct record type, preventing miscategorized records. Her work leveraged Apex, XML, and Salesforce Flow, demonstrating careful attention to data quality and robust integration practices.

For 2025-04, the work focused on stabilizing CRM data integrity and ensuring reliability in the Account flow within navikt/crm-nks-base. A targeted bug fix was implemented to ensure Task records created in the TAG_Log_Call_in_Account flow are assigned the correct record type, preventing miscategorized tasks and improving downstream analytics.
For 2025-04, the work focused on stabilizing CRM data integrity and ensuring reliability in the Account flow within navikt/crm-nks-base. A targeted bug fix was implemented to ensure Task records created in the TAG_Log_Call_in_Account flow are assigned the correct record type, preventing miscategorized tasks and improving downstream analytics.
December 2024: Delivered fractional employee counts support in navikt/crm-platform-integration, updated data model and tests; clarified address merging logic in Salesforce integration, improving maintainability. Resulting data accuracy supports downstream reporting, analytics, and cross-system consistency; focused on business value and data quality while maintaining code health.
December 2024: Delivered fractional employee counts support in navikt/crm-platform-integration, updated data model and tests; clarified address merging logic in Salesforce integration, improving maintainability. Resulting data accuracy supports downstream reporting, analytics, and cross-system consistency; focused on business value and data quality while maintaining code health.
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