Platform for speed, innovation & growth
Company Size
1,000+
Region
- America
Country
- United States
Product
- Anypoint Platform
- Salesforce
- NetSuite
Tech Stack
- Cloud-based SOA
- Integrated Development Environment (IDE)
- Data Extraction, Transformation and Loading (ETL)
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Process Control & Optimization
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Splunk is an enterprise software company that makes machine data accessible, usable and valuable to everyone. The company is headquartered in San Francisco, California and operates in the technology industry. 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. The company's website is www.splunk.com.
The Challenge
Splunk, a rapidly growing enterprise software company, was facing challenges in maintaining its pace of growth post-IPO. The company was using cloud technologies such as Salesforce for sales, NetSuite for finance, and other custom applications, including one for fulfillment. However, they were using 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. This ETL tool was a black box, which made it challenging for Splunk's developers and IT team to quickly drive and support innovation. Moreover, the ETL tool proved to be incompatible with the company's fast-moving processes and goal to be a 100% cloud platform, as the tool required an on-premises agent. The system also ran in 15-minute cycles rather than in real time, limiting the speed of order processing.
The Solution
Splunk found the integration partner they needed in MuleSoft's Anypoint Platform. It was the ideal solution for their specific immediate integration needs, but most importantly, their platform for the future. Anypoint Platform offered a built-in IDE, hosted web services and service orchestration that was 100% cloud based. In addition to a connector software development kit (SDK) for custom connector building, the MuleSoft platform offered seamless synchronization with 120 out-of-the-box connectors, including Salesforce and NetSuite. MuleSoft also provided dedicated hosting, developer support, and integrated technologies that they could seamlessly build on. Within 20 days of launching Anypoint Platform, Splunk achieved a streamlined quote to cash flow, in which license key generation was automated seamlessly. They were able to expedite the fulfillment portion of their Quote to Cash cycle to faster serve their clients, complete processing of their numerous orders by year's end and increase overall operational efficiencies.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
