Data Based Travel Management

< p > "data and analysis not only enable enterprises to have more certainty when negotiating prices with hotels and airlines, but also help them develop an effective travel management policy and cover the pre, post and post process of travel, so as to reduce future travel expenses."

Marco Pellizzer, vice president of American Express, said.

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< p > data everywhere. < /p >

< p > it can be said that the data clues of < a href= "http://sjfzxm.com/DESIGN/designer/index.asp" > Travel Management < /a > are everywhere.

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< p > from a large aspect, including the company's annual booking quota, the average price level, the most airlines and hotel information, and from a small point of view, it involves the employee's travel trajectory, travel choice behavior preferences and so on.

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< p > "the new company takes these data to make travel policy. For mature companies, we need to analyze these data every year to see whether policies are implemented in real terms, how much cost savings have not been realized and which links have been overpaid."

Wang Dan, a head of the purchasing department of a large multinational company, said.

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< p > however, in the face of massive data, enterprises are often at a loss as to where to start. Not only do they not know where to start, but data collection and tracking are already ineffective. Even for large multinational companies, the data "blind spots" in the travel management also exist in large numbers. For example, many enterprises face great challenges in ticketing tracking. "The company is not clear which airline tickets have been cancelled because they have not been used, this part of the waste is too much, and the bigger the business, the more the loss is."

Han Yan, a senior manager of customer development at Air China Sales Department, said.

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< p > unable to achieve complete centralized management is one of the reasons for the loss of data. Therefore, for enterprises, it is necessary to use a variety of "external brain" to do more comprehensive data collection, these channels can be internal reimbursement system, also can come from the travel agencies, including airlines and hotels suppliers, of course, bank credit card is also a possible choice, "with these data superimposed contrast, and then draw a more real and effective travel map."

Wang Dan said.

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< p > application is promising. < /p >

"P >" with the guidance of data, the cost of travel is not a passive consumption, but a more optimized "a href=" "http://zs.sjfzxm.com/" > resource allocation < /a >.

With this in mind, enterprises, like Li Make said, can "travel parallax to an investment, and try to maximize the return on this investment".

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< p > some relatively direct applications have been adopted by many large enterprises, such as the comparison of the annual air fare between the company and the same period in 2012, or the comparison with the average market price in the same period, so as to judge whether the company's travel policy is effective; and through data analysis, we can find that the 10 most commonly used airlines are negotiating price with the airlines on these routes, or ensuring that some locations are reserved during the rush hour.

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< p > but these are only the initial stages of data analysis. According to the introduction, the global data reporting system in Germany can provide hundreds of different data dimensions, including different cost centers and departments, time, cities, airlines, hotels and so on. Enterprises can match different modules according to their own needs, such as the characteristics of travel expenses of a certain department in a certain period of time, and even refine the execution of a specific executive's travel policy.

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< p > and if a href= "http://sx.sjfzxm.com" > Data < /a > is analyzed and refined, it will find a greater value. For example, a company can win a low price on a certain route through a large client agreement, but maybe it is lifted by the airline company on other routes, and the centralized presentation of the global airline data can enable the manager to see a more comprehensive corporate travel chart, so that it can make an overall cost optimization plan instead of being confined to a certain route.

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At the same time, the effect of data mining can make the company more convenient for employees. "For example, some companies need frequent flights in Beijing and Shanghai, and maintain a certain number of flights on a single route every night, which allows airlines to plan the required aircraft in a targeted manner."

Han Yan said that airlines would respond to the needs of large customers.

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< p > analysis of employee behavior is conducive to further fine-tuning of the travel policy, making it more targeted. For example, when employees are ordering tickets, some of them are direct return tickets, and some are order tickets. When the company finds that the latter accounts for a large proportion, it will be reflected in the travel policy, so as to encourage employees to book return tickets. At the same time, by understanding the employee's travel trajectory, the company will clearly grasp the staff's travel coordinates, and can timely push the suggestion of common car rental trips to employees.

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< p > "if there is accurate, comprehensive and comprehensive data support, there is more room for internal control and external control, not only for cost saving, but also for employee management."

Wang Lu, general manager of Germany Jiahui International China, points out that data will play an increasingly important role in the management of enterprise travel.

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