Blogs and News

Tracking the Return of Travel and Hospitality

In this post, Sumantra Banerjee examines how the travel and hospitality industries have fared from the onset of the COVID-19 pandemic until now. He also discusses the future of travel, including the rebound of different travel segments and new trends that will emerge. Be sure to Check out the full article here. The ongoing COVID-19...
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Indicators To Track Economic and Financial Recovery

In this post, Sumantra Banerjee discusses key indicators to track economic and financial recovery from the COVID-19 pandemic. These indicators involve business, consumer, and investor sentiment as well as the health of certain industries. Be sure to check out the full article. With the COVID-19 outbreak forcing a global economic closure, major countries have experienced...
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evolution of data analysis

The evolution of data analysis

  In this podcast, LodgIQ’s Fabian Bartnick and Glenn Haussman, host of No Vacancy podcast, discuss the evolution of data analysis. Be sure to check out the first part of this discussion. The analysis of data is an evolution. Revenue managers must first understand the basics provided by descriptive and diagnostic analytics to fully understand and utilize...
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making the case for data-driven revenue management

Making the case for data driven revenue management

  In this podcast, LodgIQ’s Fabian Bartnick sits down with Glenn Haussman, host of No Vacancy podcast, to make the case for data driven revenue management. We ask one important question: Is revenue management via Excel spreadsheet alone still effective? We’ve spoken a lot about how buying behaviors and demand factors are evolving, but let’s speak...
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Machine learning 401

Machine Learning 401

Predictive and prescriptive analytics are the focus of Machine Learning 401. Here are Machine Learning 101, 201, and 301, in case you missed it. If you made it this far, congratulations. You’ve learned a lot, but here’s where it starts to get tricky. This is where predictive and prescriptive analytics come into focus, two areas in which modern revenue management...
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Machine learning 301

Machine Learning 301

Analytics is the focus of Machine Learning 301. Here are Machine Learning 101 and 201, in case you missed it. Analytics are a valuable tool to finding new ways to generate more hotel revenue. But to fully impact hotel profit with technology, different types of analytics must be leveraged. Not all analytics are created equal, especially when it comes to...
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machine learning 201

Machine Learning 201

In Machine Learning 201 we explore the role of data patterns in modern revenue management strategies. Here’s Machine Learning 101, in case you missed it. Patterns rule the world, but understanding them, and using them to our advantage was previously complicated, if not outright impossible. But modern revenue management trends are proving that all is revealed...
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Machine Learning 101

Machine Learning 101

One of the biggest buzzwords of the modern age is “machine learning.” It certainly sounds cool and futuristic, but what is it, and how is it relevant to the hotelier’s life? We’ll answer that in this educational blog we’ve playfully named Machine Learning 101. Simply put, machine learning is the ability for a computer to...
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finding relevance in big data part 2

Finding relevance in big data – Part 2

  Welcome to Finding relevance in big data – Part 2. Listen to Part 1 here. How can hoteliers make big data work for them? Big data is a buzzword that has gotten plenty of mileage and for good reason. Hoteliers looking to maximize room rates can look no further than their destination’s incoming data. Through...
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