analytics

Our Philosophy for Hotel Analytics in 3 Pillars
Different Stakeholders have different needs. You can unleash your creativity by putting detailed analytics together but every user needs their own view
How AI Marketing Tools Turn Analytics Data Into Actionable Info
AI can glean actionable insights from massive data analytics in minutes, empowering marketing professionals to make better informed decisions, faster
Is Automated Room Pricing Glitching On You?
Business strategy and impact on room (and other outlets) pricing is veering in so many different directions that analytics, without supervision, can’t track
10 Ways Airlines Use Artificial Intelligence and Data Science
Collecting and crunching data about customers, airlines understand passengers’ tastes. So, revenue managers start from measuring willingness to pay (WTP)
3 Winning Revenue Management Strategies and New Hotelier Skills
Revenue managers will need a new set of skills built on analytical thinking and cognitive flexibility to maintain effective revenue management decisions

Atomize RMS and Juyo Analytics Join Forces to Empower Commercial Teams
By joining forces, Atomize and Juyo provide hotels with a solution that covers proactive, tactical price automation to reactive strategic data intelligence
The Future of Hotel Data Analytics
Multiple touch points along the way help hotels digest and process the customer data and use that information to develop future strategies
Why GOPPAR Provides a Much More Complete Picture
A focus on gross operating profit per available room, or GOPPAR, is the key performance indicator that delivers and why RevPAR just does not always cut it
How Restaurants Are Using Data and Analytics to Increase Profits
Let’s take a closer look at what data analytics are, how they affect the various aspects of a restaurant, and how you can use them to increase your revenue

Four Steps to Becoming a Data Driven Hotel Organization
Business Intelligence is an organizational capability that has to be nurtured and grown. If you don’t create a culture of data analytics, no tools can help