Hospitality Management
Article | July 19, 2023
Data science has lead to marvelous opportunities for many industries. Like so many other industries, the travel industry would greatly benefit from knowing future travel information in advance. Fortunately, there is no need to rely on some fortunetellers anymore, but take advantage of Big Data.
Big Data in the travel industry is driving in the right direction, especially after the pandemic, as companies had to be more technologically advanced to cater to their regular operations effortlessly. And big data is now transforming the way businesses used to conduct their operations. It has started taking care of everything that a traveler expects from the traveling organizations in terms of personalized offers to products and more. In this digital period, where everything is hyperconnected, new technologies and big data analysis have become essential for the travel industry to adopt new consumption models and improve the decision-making process.
Many industry leaders are already using big data in the travel industry. Still, but you may not understand the real value it can provide for your business or how is big data being used in the travel industry. With a closer look at the ways big data is transforming the travel industry, you can determine how your business can benefit from its use. Before you reach this point, a brief about significant big data challenges in the travel industry can help you understand how you can improve your company.
What were Big Data Challenges?
Data capture
Unorganized structure of data
Speed
Privacy and security
Data ownership
Data handling
Data storage
5 Ways Big Data is being Used in Travel Industry Businesses
So how exactly is big data going to affect your company? Amadeus's research study identifies two segments of change, one is the operations, and the other is marketing strategies.
Greater Personalization
Companies in the travel industry, such as car rental companies, tour operators, airlines, and more, must find a way to improve their overall functionalities to meet goals. To stand out, you must have a unique approach to market your products. Using big data, you can easily pinpoint exactly what employees are looking for and then establish a concrete base right out of the gate. When it comes to greater personalization offerings, effective uses of big data analytics help making well-informed decisions. By using big data analytics, the applications provide wide-ranging personalization offerings such as promotions, deals, referrals, and more, keeping an aim to generate revenue.
Identification of Potential Risks
Currently, businesses are struggling to deal with high-risk environments, where a proper risk management process is the need of the hour. Big data in the travel industry has been instrumental in developing new risk management solutions and can enhance the effectiveness of risk management models and build intelligent strategies. This is one potential power of big data is transforming the travel industry.
Pricing strategies
Price is a critical component to set under marketing strategies. Big data used by travel companies can easily track, analyze, and file the competitors’ prices to get a clear picture of what’s trending. This real-time analytics can help your company track pricing changes and build a consistent pricing strategy for a better workflow for employees. Price strategies can turn into a game-changer for your business goals in the future. Through a transparent idea of what competitors are implementing in their process, your business can execute optimum pricing strategies that would considerably benefit your company by predicting future demand.
Security Enhancements
As the amount of online transactions has amplified steadily over the years, the rate of fraud has also increased simultaneously. Losing customer data can destroy your business’s reputation. Big data in the travel industry allows companies to plan and implement software that would increase safeguards on sensitive information by leveraging types of technologies, including natural language processing, video recognition, speech recognition, machine learning engines, and automation. This is considered one of the best solutions for how big data is helping the travel industry.
Revenue Management
Travel businesses use big data analysis to manage their revenue. Big data in the travel industry has become one essential part of companies that effectively maximizes financial aspects. If you have set a goal in your company to achieve specific revenue, then it is crucial to define a market strategy to offer corporate travelers the right services through the right channel. Because of this, you can manage the prices to maximize the revenue of your company.
Benefits of Big data
From a humble beginning of big data in tourism before the pandemic, it has become a mainstay in the business world. Big data solutions and big data analytics will not only foster taking data-driven decision, but also empower your workforce that add value to your business. According to Harvard Business Review, 99% of companies surveyed reported that they intend to implement big data analytics and AI in the near future. What are other significant big data benefits that you should inculcate it in your business? Here are some of these:
Big data benefits for the travel industry by offering real-time monitoring, forecasting of business, and the market.
Unlock the true potential of data-driven marketing.
Facilitate faster delivery of services and products that meet and exceed the client’s expectation.
How Businesses can Analyze Big Data?
To understand big data, you firstly need to know the points that need solutions. Then, attempt to identify the answer to your questions such as, ‘how can I get the data to solve it?’ or ‘what can big data do for my business?’ Your big data solutions need to be effortless. It is important to match what you had in mind for pricing and make it flexible to serve your business in the future.
Research the most reliable big data tool so that it can serve to provide you the right solution. For example, if you want to introduce more effective promotions and marketing campaigns, you can use Canopy Labs, to predict big data travel behavior and sales trends.
The travel and tourism industry uses big data with the help of several tools that are inexpensive or even free to use. Google also has user-friendly tools like Google Adwords and Google BigQuery. So, don’t feel overwhelmed by all the data that’s out there. With the right tools, you can separate the data to find what you need to start growing your business today!
Some Success Stories
KAYAK sets an example of using big data in the travel industry by innovation and spearheads the technological revolution. It has developed a new benchmark in the travel industry using big data for travel management and operations.
United Airlines embraced a “collect and analyze” approach to their big data for travel planning. The company tracks all information using real-time data, including individual and general historical data.
The Schiphol Group, which operates the airport, has reportedly invested in data science packages. A team of big data analysts easily analyze, report, and visualize the constant influx of data of employees on corporate trips.
These developments are reflective of the growing big data analytical trends in the travel and tourism industry. Following the steps of industry leaders, a lot of companies have started the adoption of big data for travel management and improvising their analytical tools to make more informed decisions for future travel mechanism. You can get more interesting and updated news to rely on how big data in the travel industry is transforming.
Future Outlook of Big Data in Travel Industry
Many industry leaders are talking about big data in the travel industry, its evolving benefits and the future of big data within the tourism industry. With the effective uses of big data, your company can use information about employees catering to corporate business services to understand the workflow.
Hadoop, one of the big data applications in the travel industry, provide suffecient data storage space and presents information from a wide range of sources in a structured manner. It enables tourism companies to take immediate decisions as per requirements. Big Data applications in the travel industry help companies introduce new products to have predictive analysis and critical insights about corporate travelers.
What could be anticipated from the future of big data is that travel industry professionals will progressively utilize big data to facilitate their potential benefit. This will genuinely modify what companies would offer corporate travelers equally in the future. With such activities to cater the markets worldwide, big data in the travel industry has formed a clear map.
Frequently Asked Questions
How is big data being used in the travel industry?
Big data in the travel industry is used to observe various marketing strategies and some customer-related patterns and trends. Following these is important to create loyalty among employees as well as customers also. Therefore, the more data a business collects, the more it will understand ways to generate revenue.
What is the future of big data in travel industry?
The future of big data in the travel industry stays impressive as the market leaders can make decisions that are more informed based on analytics and number-driven data. Big data in the future will boost the efficiency of the services and the quality at the same time.
How big data is helping the travel industry?
Big data is helping the travel industry in many ways. It is allowing businesses to make more evidence-driven decisions for revenue. These include the ability to anticipate customers' future demands accurately, re-structure pricing, target more marketing strategies, and improve real marketing tricks.
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Hospitality Management
Article | July 24, 2023
Global travel agencies are striving to maintain a competitive edge in the market. They are relying on big data to analyze the current state of the market, automate work processes, and better understand customer needs to streamline their businesses. Big data is now an important part of the future of the travel industry because it helps:
Accurate decision-making
Customer demand forecasting
Service personalization
Travel marketing
Optimization of pricing strategies
How is Big Data Sourced?
The following data sources are used to gather big data:
UGC Data
User-Generated Data (UGC) is the most affordable data to obtain and includes textual data gathered through questionnaires, social networks, and image data.
Device Data
Device data gives access to GPS data, mobile roaming data, bluetooth data, RFID, WiFi data and more. This data is harder to obtain and is expensive.
Transaction Data
Web search data, web page visit data, online booking data, etc., constitute transaction data. Advanced web services such as Google Analytics can help collate this data.
The sourced data is analyzed using artificial intelligence, machine learning, and natural language processing (NLP).
How Is Big Data Changing the Way Travel Companies Operate?
With the help of big data, you can increase your performance, get deeper customer insights, and offer an excellent customer experience to travelers. Let us briefly examine how big data can help you achieve all these objectives.
Optimize Your Revenue
Optimize your costs and accurately predict short-term and long-term revenues. Through customer experience metrics, you can also analyze your profit potential, correctly forecast peak period demand and offer relevant services to customers at the right time. As a result, protect your agency from unexpected expenses and make the most of customer demand.
Recognize & Capitalize on Trends
Historical, real-time data and a standard analytical approach help you understand the changing trends in the tourism industry. Then, you can swiftly take measures to adapt to these changing trends and capitalize on the ones that contribute to revenue. Bleisure is an excellent example of such a travel trend.
Improve Your Marketing Campaigns
Big data processes large amounts of information on your target audience and helps you see which marketing campaigns can succeed based on long-term forecasting. Consequently, you can prevent any unexpected losses while executing seasonal marketing campaigns. Additionally, big data collects information on your competitors and target audience in real-time, so you know the kind of marketing campaigns you need to execute to remain ahead in the race.
Enhance Brand Reputation
Big data considers customer reviews and comments to help you understand which aspects of your business need improvement. Internally collected feedback and big data analysis can create a standard to improve the brand reputation of your agency.
Conclusion
Big data in the travel industry is more than just a trend; it is a tool for better understanding the market situation and each customer in general (potential and existing). All of this lays the groundwork for a more personalized approach and accurate prediction of what customers want, and contributes to an elevated customer experience and an increase in revenue.
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Business Travel
Article | May 17, 2023
Just over a month ago, many of us sat in our offices, surrounded by colleagues, engaged in deep discussions about how best to leverage the increasing demand in travel this year. As per the World Tourism Organization's (UNWTO) forecasts from earlier this year, international tourist arrivals were expected to grow by 4% in 2020, which is not as great as the growth seen in 2017 (7%) and 2018 (6%), but it was still enough to continue fueling the tourism industry, which contributes to about 10.4% of the global GDP and approximately 319 million jobs. We were blissfully unaware of the looming threat of the COVID-19 global pandemic. In fact, several parts of the world failed to take notice of this crown-shaped virus that was about to bring everything to a grinding halt, until March 11, when the World Health Organization officially announced it as a pandemic.
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Travel Technology, Industry Outlook
Article | July 13, 2022
Following the relaxation of travel restrictions worldwide, the travel and hospitality industries are bracing for a surge in demand, which will be exacerbated by the upcoming holiday season. As widespread delays and cancellations become more likely, companies like airlines are looking for new ways to put customer experience first.
In a global workplace, not being able to speak more than one language, especially English, can hurt productivity and customer service. For this reason, people who work with customers need to have good communication skills.
Investing in AI English Language Training Tools
Traditional training for staff in the travel and hospitality industries requires in-person sessions. It can be expensive and impractical because employees have tight work schedules and staff operates in different time zones. AI app-based training alternatives solve these key issues, allowing employees to learn "on-the-fly" whenever possible.
Digital training alternatives can provide greater levels of personalization for task assignment and user feedback. This individualized approach to staff development is difficult to replicate in large in-person sessions. Because all tasks are given and done digitally, management teams can track each user's progress and how well training is going for the whole department.
Offering Excellent Customer Experience
English communication is vital to offering an excellent customer experience and long-term profitability as the travel industry recovers. Artificial intelligence-powered English language training solutions stand out from the crowd. This technology has the potential to constantly advance and improve over time, thanks to its own learning community.
Ed-tech learning tools that incorporate future-proofed AI technology will enable providers to confidently invest in training, increase staff engagement, and provide best-in-class customer experiences to global travelers. As a result, companies in the travel and hospitality industries that put communication skills training at the top of their list of priorities and speed it up can increase customer loyalty and stay competitive with other market leaders.
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