Platform for speed, innovation & growth
To support their rapid growth rates, Splunk needed a technology platform for agility – a platform that allows them to go fast while minimizing risk.

order processing


front to back-office


friction between sales and finance

Front to Back Office Integration Without Infrastructure

Splunk is an enterprise software company that makes machine data-accessible, usable and valuable to everyone. Splunk has seen one of the fastest growth rates among technology companies. To support this continued growth at scale, the company needed a technology platform for agility – a platform that allows them to go fast while minimizing risk.

Splunk used cloud technologies such as Salesforce for sales, NetSuite for finance, and other custom applications, including one for fulfillment to enable the early days of growth. They used a data extraction, transformation and loading tool (ETL) to manage the data flows between their systems and for an order fulfillment process across their sales, finance and fulfillment teams. But the ETL tool, as most ETL tools are, was a black box, which made it challenging for Splunk’s developers and IT team to  quickly drive and support innovation.

As the end-of-year order fulfillment crunch neared, Christopher Nelson, Senior Director of Business Applications at Splunk, felt the urgency to resolve their mounting integration challenges. Prioritizing 100% cloud infrastructure to give them speed and scalability, Splunk chose MuleSoft's Anypoint Platform to streamline processes such as quote-to-cash, employee lifecycle management and user provisioning. 

The challenge

  • Maintain pace of growth post IPO
  • Streamline order processing within a 3 month window
  • Reduce friction between sales and finance, slow order processing and lags in the order fulfillment process

The solution

  • Anypoint Platform for SaaS Integration as the backbone of a streamlined, automated quote to cash process
  • Built-in, out-of-box connectors and a connector SDK to build custom connectors
  • Access to data for analytics

Share this case study