How to Use Data Analytics to Improve Your Travel Programs

This SAP Concur blog post outlines the four main types of travel analytics (descriptive, diagnostic, predictive, and prescriptive) and explains their benefits in cost optimization, policy compliance, risk reduction, and traveler experience enhancement. It lists key metrics and KPIs such as total spend, cost per trip, booking rates, preferred vendor compliance, and travel policy compliance rate, and provides actionable ways to improve corporate travel programs through data analytics, including vendor sourcing, policy optimization, demand management, and benchmarking.