finding relevance in big data

Finding relevance in big data – Part 1

 

Finding relevance in big data is a concern on the minds of many hoteliers. What should you act on? How do you, as a hotelier, determine what data has the biggest impact on pricing? In this series, we discuss how evolving buying behavior impacts the amount of data points to be considered and how each data point impacts intelligent rate recommendations.

Have a question about big data? Shoot your question over to our team. We’re happy to help.

About the author

Leave a Reply

open-quote

I've tested various Revenue Management Systems (RMS), but none have impressed me as much as LodgiQ

Chief Commercial Officer

Washington DC

open-quote

LodgIQ defines the NEW ERA in revenue management

Chief Commercial Officer

New York, NY

open-quote

Finally a system that is easy to understand without unnecessary data and noise

Revenue Manager

Miami

4.7 stars on Hotel Tech Report
Read the reviews

See what LodgIQ’s commercial strategy platform can do for you

Book A Demo
New York City • Bangalore • Silicon Valley

Copyright ©2024 LodgIQ, LLC. All rights reserved. Terms and Conditions | Privacy Policy