Infor > Case Studies > American Express Global Business Travel uses Infor Birst to create Premier Insights product

American Express Global Business Travel uses Infor Birst to create Premier Insights product

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Infor Birst
Tech Stack
  • Business Intelligence
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Big Data Analytics
Applicable Functions
  • Procurement
  • Sales & Marketing
Use Cases
  • Predictive Replenishment
  • Regulatory Compliance Monitoring
Services
  • Data Science Services
About The Customer
American Express Global Business Travel (GBT) is the world’s largest business travel provider. The company has 16,000 travel professionals spread across more than 140 countries. It manages over $19 billion a year in corporate travel spend and serves 37 out of the 100 largest travel spenders in the US. The company is headquartered in Jersey City, New Jersey, and has an operating revenue of $31.1 billion.
The Challenge
American Express Global Business Travel (GBT) wanted to increase its market share by differentiating its core services through a strategic investment in smart analytics for travel booking. The company aimed to show its clients how booking directly through the system instead of personal cards could lower costs. It also wanted to offer buyers, such as the head of finance and department managers, insights on employee spend and travel savings. Another challenge was to increase sales win rates and shorten sales cycles.
The Solution
GBT implemented Infor Birst, a business intelligence and analytics platform. The solution was deployed in six months, a significantly shorter time compared to the years it would have taken to build a solution with a competitive, legacy BI product. The platform leveraged over 110 valuable metrics, allowing customers to manage spend through peer-to-peer benchmarking, travel cost optimization, and understanding employee travel behavior. It also enabled alerts and red-flags on out-of-policy activities to maximize savings.
Operational Impact
  • The solution was deployed in six months, a significantly shorter time compared to the years it would have taken to build a solution with a competitive, legacy BI product.
  • The platform leveraged over 110 valuable metrics, allowing customers to manage spend through peer-to-peer benchmarking, travel cost optimization, and understanding employee travel behavior.
  • It also enabled alerts and red-flags on out-of-policy activities to maximize savings.

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