What if revenue optimization for an extraordinary amount of hotel and casino data was possible in near real time using high-performance analytics? For example, say an average-size hotel of 250 rooms needs to calculate pricing and inventory controls for at least 365 days into the future for approximately five room types and eight lengths of stay. This results in 3.65 million data points to review on a daily basis. That’s … big … data.
In a world with high-performance analytics, the hotel could take advantage of this big data in several ways:
1) Rather than produce pricing and inventory control decisions using a batch process, it could optimize these decisions in near-real time, even after each reservation is made.
2) The hotel could maximize revenue for every decision (instead of a group of decisions).
3) The hotel would now have the ability to respond much faster to changing trends.
What would being able to respond much faster mean to your business? Keep reading this series for examples of high-performance analytics in retail and manufacturing. And find out more about how and when high-performance analytics can be used in this white paper.