The top 5 travel analytics solutions to consider for your business
Best for business travel
1. TravelPerk
- Person
- Transport type
- Booking type
- Cancellations
- Recoverable VAT
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Start saving money on business travel for your company today!
Best for the travel and hospitality sector
2. Teradata
- Features artificial intelligence and machine learning technologies, data storage, transactional workloads, and more
- Allows customers to prepare data with powerful in-database functions and train models of various sizes to get the best results
- Can be deployed in the public cloud, hybrid cloud, or on-premises
- Is a flexible option for businesses in the manufacturing, retail, healthcare, or government sectors, among others
3. Amadeus Travel Intelligence
- Improve their search engine optimization (SEO) marketing
- Gain a deeper understanding of their agency’s relevance to partner airlines
- Identify new airline partners and capture new revenue streams
- Better assess opportunities for expansion into new markets
4. ACL Digital
- Text mining
- Statistical modeling
- Natural language processing
- Predictive analytics
- Neural science
- Machine learning
5. WNS
- Customer acquisition analytics: Using segmentation, clustering, and predictive analytics techniques, enables travel and leisure companies to identify customers who are most likely to make purchases or react to campaigns, promotions, and communications.
- Retention analytics: Helps identify the factors which are most likely to drive customer engagement with a product or service, and helps retain customers through targeted personalized offerings.
- Cross-sell and up-sell analytics: Helps travel and leisure companies get deeper insights into customer expectations, and map the right products and services to existing customer segments. To do this, the solution leverages predictive analytics techniques such as look-alike models and response models.
- Customer lifetime value (CLV) analytics: Helps travel and leisure companies create sales and marketing strategies by forecasting the expected revenue from new customers and identifying high-value and profitable customer segments.
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