Skip to main content

In this big data era, any form of data is a gold mine for decision-makers and data analysts. Data has the power to streamline business operations, transform customer experience and elevate business revenue. According to Statista, by 2029, the big data market is expected to reach over $655 billion. One challenge that travel agencies, travel management companies, or tour operators face is obtaining standardized hotel data and easy-to-read datasets. This can be solved by hotel data normalization. Let’s dive into understanding its importance and how it can increase hotel reservations.  

What is hotel data normalization?  

Hotel data normalization is the process of organizing hotel data in a database to eliminate data redundancy and make the database more efficient. It is a process to develop clean, deduplicated, and structured data so that the final data is accurate and free of duplicate records. Basically, data normalization eliminates ambiguity and unstructured data around a hotel property information and improves the usability of the hotel data set. Additionally, normalized databases take less disk space and increase overall performance. 

Hotel data normalization works for hotel name, street address, hotel phone numbers, static room information, hotel property type, country code, and much more.  

Below is an example of how hotel data normalization works on raw data and ensures the database is decluttered, organized and usable in strategic business decisions. 

Raw Hotel Data  Normalized Data  Benefit 
Supplier 1: Caesar Suites, Las Vegas hotels 
Supplier 2: Caesar Suites at Palace 
Caesars Suites at Caesars Palace, Las Vegas   Helps reduce duplicate hotel entries if matching requirements include hotel name  
911234569  911-234-569  Prevents wrong dialing and makes dialing easy 
2 BR sea view room  2 bedroom with sea view   Helps reduce duplicate room entries if matching requirements include room name 
crescent Rd, Dubai  Crescent Road, Dubai  Standardized address 

Why is hotel data normalization necessary?  

According to our research, on average, a single hotel gets listed 9 times on an OTA’s platform. Can you imagine the damage it does to customer experience?   

For example, the luxury hotel resort- Atlantis, The Palm, Dubai can be displayed on an OTA’s platform as   

  • Atlantis Resorts, Dubai  
  • Dubai, The Palm Atlantis  
  • Palm Jumeriah  
  • Atlentis, Palm, DXB  

If you observe, the same hotel is written in different formats or misspelled. The same happens for other hotel attributes such as hotel street address, phone number, room names, location, etc. This leads to duplicate hotel data,   

  • data inconsistency, 
  • inaccurate hotel data
  • less data storage space, 
  • poor data quality,
  • confused customers, 
  • lower booking volumes,
  • decrease in business profits  

If data cleansing and normalization is not done, then decision makers and data analysts cannot identify and analyze information such as number of bookings made on individual properties, sales and spend reports, etc.  

Advantages of hotel data normalization  

Hotel-data-normalization-1
Advantages of hotel data normalization

Here are 5 benefits of hotel data normalization: 

  1. Improves database organization  

After data normalization, the database is organized with high-quality and valuable data. This reduces data management time and helps data analysis quickly.  

  1. Removes duplicate data records  

Normalizing hotel data will remove the number of duplicates from your database. This method groups duplicate hotel data into one category, which makes it easy to read and analyze large datasets.  

  1. Reduces data redundancy  

Data redundancy is a common data storage issue and reducing data redundancy will speed up the data processing time and the organized database will be regularly updated with the latest hotel content. 

  1. More storage space  

Data normalization reduces duplicates and data redundancies which frees up gigabyte and terabyte space. More storage space will result in faster system performance and efficient data analysis.  

  1. Quick data sorting  

Normalized database helps travel businesses get answers to simple questions like- “how many bookings did I have in Florida” or “where are my customers traveling to most this month.” Data normalization helps spot patterns or trends that can help you design travel packages or discounts for your customers.  

Vervotech Curated Content:  

Vervotech’s AI-powered Curated Content tool provides high-quality hotel data so that OTAs, TMCs, DMCs, tour operators or any accommodation provider showcase accurate hotel information on their website. Our intelligent AI algorithms scan, identify, and tag accurate hotel data such as detailed hotel addresses, property type, room images, geocodes, star ratings, and much more. Our team of content analysts verify images sent by over 600 suppliers and then delivers high-quality HD hotel and room images. Currently, we deliver highly accurate master room content of more than 100,000 hotels, manually curated and verified by our team of mapping experts. Our goal is to provide normalized hotel data so our clients can easily make strategic business decisions and enhance their customer booking experience.   

About Vervotech:

Vervotech is a leading Hotel Mapping and Room Mapping API that leverages the power of AI and ML to quickly and accurately identify each property listing through the verification of multiple parameters. With an industry-best coverage of 98% and an accuracy of 99.999%, Vervotech is quickly becoming the mapping software of choice for all leading global companies operating in the travel and hospitality industry. To learn more about Vervotech and the ways it can enhance your business in the long run contact us: sales@vervotech.com

Vervotech Cemented its Position as a Leader in 2022, Watch our Achievements in Focus
This is default text for notification bar