Boomi-Driven Oracle to Salesforce Integration Reduces Process Errors by 90 Percent
Industry & Market
- Oracle EBS
Gartner features A10 Networks in a blog discussing the need for iPaaS.
To prepare for an IPO, A10 Networks needed to move from QuickBooks to a robust enterprise resource planning (ERP) system. Boomi helped it make the move to Oracle E-Business Suite (EBS) Financial quick and efficient.
In addition to the need for a robust ERP system, A10 Networks wanted to integrate its new ERP with Salesforce to ensure the seamless integration and flow of data between its CRM and ERP environments.
In rapid growth mode, the company also knew that having a scalable cloud infrastructure was the only way to meet its integration goals while managing head count and IT operational costs.
Before adopting Boomi as its integration platform, A10 Networks staff manually entered data into Oracle and Salesforce, a process that could not scale, resulting in rapidly increasing costs and often produced errors.
The company also wanted a workflow-driven integration model that would allow it to quickly visualize the activity and status of its integrations. Other integration tools A10 Networks considered did not have an easy way to accomplish this.
How Boomi Helped
With Boomi, customer data is no longer a worry for A10 Networks. All of its master data is bi-directionally integrated between Salesforce and Oracle EBS, including price lists, customer contact information, product details, orders and quote information. The cloud-native Boomi platform provides A10 Networks with centralized, seamless access to all information.
Integration through Boomi immediately eliminated duplicate manual data entry, which improved efficiency and reduced errors while trimming costs. With Boomi, A10 Networks was able to:
- Decreased errors by 90 percent compared with manual processes
- Lowered IT application costs by 10 percent
- Reduced staff hours by 40 percent
- Provided rapid implementation with low-code, drag-and-drop development
With Boomi, A10 Networks decreased process errors by 90 percent and reduced staff hours by 40 percent.