Data Visualization in Hospitality Industry

Travel & Hospitality Tech Outlook | Wednesday, September 30, 2020

Data visualization discipline makes it easier to classify what a hotel is good at and center the attention on marketing the strengths to impending customers.

FREMONT, CA: For the hospitality industry, the capability to swiftly access and analyze figures is vital. Data visualization takes a large amount of data and makes it more explicit by using graphs, charts, and other visual components. The means helps hoteliers to make predictions, spot trends, and facilitate better decision-making.

Hotels can learn four ways to leverage data visualization to achieve a competitive edge.

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Blend Multiple Data Sources

Hotel data comes from multiple different sources, both external and internal. Social media, web traffic sources, reputation management engines, airline data, and weather are just a few pieces of the puzzle. Data visualization lets hoteliers combine data and integrate various data sources into one view to effortlessly and efficiently see the relationships connecting data points.

Recognize Strengths and Weaknesses

Data visualization discipline makes it easier to classify what a hotel is good at and center the attention on marketing the strengths to impending customers. For instance, if most people book the hotel for its service or location, then the marketing team can make use of that insight. The representation also makes it easy to mark areas in need of improvement and decide on what changes will have a better impact on enhancing the hotel’s bottom line.

Drive Profitability

In the hospitality industry, it is also critical to study and anticipate the demand, reservation patterns, and the price accordingly. Hotels that keep track of occupancy rates and can correctly predict demand for rooms have a competitive edge. The comprehension lets businesses to price their rooms accordingly and lower the rates merely so that they can fill their and rooms at the highest charge, thereby improving the margins. Information can be used to track what hotels are paying out for employment against what the property is bringing in, and evade overstaffing by supervising routinely slow days, seasons, or shifts.

Improve Customer Experience

Hotels are required to understand their guests because satisfied customers are likely to share their positive experiences. By visualizing guest data; from how much money customers spend on additional amenities to how long they usually stay, helps hotels classify all the information. Furthermore, the data will assist a business in categorizing their customers and creating specialized offers for them. By tracking repeat visitors and the worth of their purchases, assists hotels decide if their loyalty program is meeting the objectives.

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