Mölnlycke Cuts Salesforce Data Lag by 80% and Saves 25+ Hours Weekly
CapStorm enables near real-time data replication into Snowflake, boosting visibility, speed, and control across Azure-hosted systems.
Customer Profile
Industry:
Manufacturing
Company Size:
1,001–5,000 employees
Tech Stack:
Salesforce, Snowflake, Azure
Specialities:
Manufacturing, Efficiency, Innovation
The Challenge
Mölnlycke needed a faster, more scalable way to replicate Salesforce and Veeva data into Snowflake to power decision-making and support downstream systems. Existing tools couldn’t keep up with the volume of changes or adapt to evolving Salesforce and Veeva schemas. This data lag limited visibility into customer interactions and slowed strategic decision-making. Mölnlycke needed a secure, automated, and high-frequency sync solution that fit their Snowflake and Azure architecture.
The CapStorm Solution
CapStorm deployed a self-hosted solution using CopyStorm to deliver high-frequency Salesforce replication. The system was designed to automatically detect schema changes and replicate data into Snowflake and SQL Server hosted on Azure.
Near Real-Time Salesforce Sync
CapStorm replicated Salesforce and Veeva data into Snowflake with minimal delay, ensuring fresh data availability.
Auto-Detection of Schema Changes
CopyStorm mirrored evolving Salesforce and Veeva structures automatically, reducing maintenance and errors.
Azure-Hosted Deployment
Salesforce data was replicated securely into Snowflake and SQL Server environments hosted in Azure.
Scalable Integration Layer
CapStorm enabled Mölnlycke to integrate customer data across systems, supporting analytics, reporting, and governance.
The Impact
Reduced Salesforce data lag by 80% across systems.
Saved over 25 hours per week in manual data handling and troubleshooting.
Enabled real-time decision-making through integrated Snowflake analytics.
Improved data security with on-prem-style control over Azure-hosted data.
Increased data scalability and flexibility across Salesforce and Veeva environments.
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