Bionical Emas
Salesforce Data Validation
validation time
improved efficiency
the cloud
Client Challenges
Data quality issues
The project entailed 2 large databases with data quality issues which required validation. This included: row count mismatch, missing values, incomplete information, inconsistent data formats and more.
Reliable CRM system required
The company needed a CRM platform to meet its business objectives of optimizing workflows, improving collaboration, enhancing decision-making and meeting compliance.
Limited data accessibility
Lack of unified view of information and unstructured data system compromised the accuracy and accessibility of our client's data, affecting team efficiency and collaboration.
Data security required
Salesforce implementation often involves data models with complex relationships, and migrating these intricate models can be challenging, disrupting data integrity and security.
Proventeq's Solution
Automated data validation
Using our Content Insight tool, our team verified the source data to identify and address any errors to enhance data quality before migration, followed by automated validation to ensure only the accurate version of data was transferred.
Salesforce implementation
After a successful migration to Salesforce, our team configured and customized the system to meet our client's business objectives and the demands of modern work.
Data transformation
Data was mapped and structured to ensure data accuracy, accessibility and usage in Salesforce. We also implemented custom dashboards and real-time reports to enhance data-driven decision-making.
Auditing process
To ensure the Salesforce implementation process met our client's goal, our team verified the modified data and monitored access controls to ensure compliance, enhance security and maintain data integrity.
Our Recommendation
Our Recommendation
