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Happier and more productive travelers thanks to good data analysis

Most people who travel for work know what it feels like to arrive at a destination exhausted and unprepared. After all, if you have to rush to the airport at 5 a.m. or finish a presentation in a busy departure lounge during a stopover, you are not likely to perform well at a meeting.

We now know that stress on business trips can have a major impact on a company’s finances. According to a Harvard study, a lack of sleep results in a loss of productivity of 11.3 days per calendar year.

Plan expenditure meaningfully
There is a simple solution to this problem: Make sure that money is spent more sensibly. In other words, the cheapest option is not always the best option for your travelers.

A complicated travel itinerary with lots of change-overs may be okay for a backpack tourist on a shoestring budget – but it is not ideal for a sales employee who has to seal a deal. If the cheapest flight means an early departure and a stop-over, your employee will not arrive at the destination fully rested. It is definitely better to choose a direct flight that costs a little more but takes off later. The financial loss from a deal that is not closed far outweighs the cost of a more expensive ticket.

What else can data analysis do?
This is easy enough to understand and put into practice. But what other opportunities does data analysis offer beyond this?

Evaluating data sets reveals fascinating patterns in human behavior and measures them in a convincing way for decision makers. Looking at HR data on the sickness rate among staff is interesting, for example: If employees have to travel to Tokyo every week for a prolonged period, they will fall ill at some point and need some time out. That is a proven fact. Based on data, companies can find out when to reduce the number of business trips and what policy is best suited to boost productivity.

Our experts use data to compare costs and profits, create incentives for complying with the policy, understand why travelers violate the policy, optimize the policy, and much more. The possibilities of data analysis are endless and offer ideal opportunities for increasing employees’ happiness and productivity – and companies’ profitability.