- Budget: How much money has your company set aside for a travel analytics solution? When setting a budget, be sure to take into account the cost of installation, the features you’ll want (critical, essentials and nice-to-haves), ongoing maintenance costs, training costs and any unforeseen expenses.
- Scalability: If the company grows, can the software easily be scaled to multiple departments, systems, offices, etc.?
- Ease of implementation: How easy is it to get the software up and running? How much time will have to be dedicated to its installation? Is there a need for employee training, and will productivity be temporarily lower while the software is being installed? How is the user experience when engaging with the software?
- Customer support: How well-rated is the software provider’s customer support? Are they available 24/7? Do they have a good track record of solving users’ problems? Is there installation support available if needed?
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 optimisation (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 modelling
- Natural language processing
- Predictive analytics
- Neural science
- Machine learning
5. WNS
- Customer acquisition analytics: Using segmentation, clustering and predictive analytics techniques, WNS 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 personalised 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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