SAS® Advanced Analytics Go Beyond the Others
SAS, the world’s leading analytics company, solves business challenges that others ignore with unparalleled experience and depth across multiple major industries. For hospitality, IDeaS solutions benefit from hundreds of proven SAS advanced analytic models, always ready to solve specific business challenges facing hotels today. Beneath the sleek user interface, the analytics, along with machine learning, are working on your behalf, 24/7, while you enjoy the results.
IDeaS revenue management solutions analytically assess guest price sensitivity while accounting for season, day-of-week, days-to-arrival, length of stay, and more, in addition to managing rate availability, optimizing stay patterns and strategic overbooking to drive the most revenue overall.
Harnessing this power, IDeaS’ solutions organize your data in a way that’s best for optimization, and this is where ordinary revenue management systems can run into issues. This is because oftentimes the best way to organize your data for optimization is not the best way to report on it from a business perspective.
As an example, most revenue management systems would combine and forecast certain corporate business into one group, for ease of reporting on that market segment. IDeaS’ revenue management solutions use a sophisticated analytical segmentation process to break-down the traditional PMS business coding (e.g. market codes) and organize the data based on different behavioral elements. This unique separation is how we optimize the business differently to drive better revenue performance. This approach analytically separates corporate business that can be priced and yielded (e.g. discounted, non-last room available (LRA) corporate rates) from fixed priced business that can only be managed by availability (e.g. fixed price, non-LRA corporate rates.) Separating out these rates supports more robust forecasting and more importantly: the best basis for business optimization.
The analytics engine found in IDeaS’ solutions separates your data to best optimize for transient business – considering both pricing and rate availability decisions – while still allowing you to granularly report the way you want.