Understanding the wants and preferences of travelers when their data is spread across multiple channels, locations, properties, and systems is not easy. Adding to the complexity is the need to maximize revenue through optimal asset consumption and dynamic pricing — hotel rooms, restaurant tables, or front office upgrades — and ensure the right service levels. It’s no surprise that hotel executives increasingly rely on analytics to make timely data-driven decisions.

SAS provides hotel operators with the unique ability to easily discover, prep, blend and analyze all of their data using a repeatable workflow, which can be deployed and shared at scale for deeper insights, insights that come within hours, not weeks. Hotel analysts can utilize the SAS platform in a multitude of ways, including connecting to and cleansing data from their data warehouses, sending and receiving data sets from cloud applications, as well as gleaning information from spreadsheets or a whole host of other sources. Analysts can easily join their data together, then perform analytics—descriptive, diagnostic, predictive, prescriptive, statistical and spatial—using SAS's intuitive user interface, which is, if not a code free environment, then a very code friendly one.