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Creating Great Guest Experiences for Modern Hospitality Industry

Xoriant Marketing
Creating-Great-Guest-Experiences-for-Modern-Hospitality-Industry-Xoriant Case-Study

The Client

In a constantly evolving modern hospitality industry, it is challenging to meet the emerging shifts in the landscape and what the definitions of a great guest experience means.

Our client, a global software solutions innovator, with more than 60,000 customers in over 175 countries providing ERP solution and platforms to various industry verticals. They wanted their cloud-based hospitality management solution to meet the modern hospitality industry standards delivering superior guest experiences.

The Challenge

The client sought to modernize their legacy product by transitioning it from MS SQL Server to AWS Aurora PostgreSQL while simultaneously establishing a dual-compatible system. This needed an expert technology service provider with the hospitality industry domain knowledge and skillsets of data migration and application migration.

Xoriant Solution | Key Contributions

With a commitment to streamlining processes and enhancing efficiency, the Xoriant team confronted the time-intensive tedious issues and achieved a successful database migration while maintaining operational continuity for the client.

Our engineering team identified incompatibilities across the core database object level, SQL statements written inside of Java code, manually executed the test plans of all the application screens to identify performance issues. 

Xoriant with strong PostgreSQL database expertise with a team of developers and QA testers collaborated with the client’s engineering team to work on dual compatible solution for the application. Xoriant team supported to make it more productive and reusable using automated code, tools/modules that supported the customer’s end goals.

Business Benefits 

The extreme agile data migration and application modernization with bug-free performance testing enabled the client to experience the following benefits: 

  • Boosted productivity with automation and reduced manual efforts by 50%
  • Facilitated root cause analysis of performance intensive queries via automated program
  • Reduced time required for debugging from hours to minutes

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