Multinational Hotel Group
Price Seeker integration in a big data model
Improved price analysis with big data processes in a high-performance solution, with near real-time scalability.
GOAL
Integration of large amounts of corporate data, competitor hotels and other industry platforms.
Offer analysts more perspective on price selection and increase company profits.
STRATEGY
- Construction of a Big Data platform:
- Data lake store
- Data factory
- Azure blob storage
- Data lake analytics
- Azure Cosmos DB
- SQL Server Azure
- Azure Analysis Services
- Power BI
- Integration of origins.
- Creation of the data model and definition of security.
- Power BI for dashboard.
RESULTS
- Integration: PriceSeeker, ReviewPro and PMS data with the rest of corporate data in a near-real-time solution.
- Analysis: dashboards to analyze prices, comparisons and evolution.
- Scalability: historical data in the Azure cloud that allows future analysis.
4 brands
246 hotels
54.800 rooms
22 countries
