Elisa mobility study shows people stayed home even after emergency situation

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Based on the data of a mobility analysis by telecom operator Elisa concerning the last week of the emergency situation in Estonia, it appears that people are cautious about moving around — in total, 65 percent of people from all over Estonia tended to stay at home, which is 11 percent more than before the emergency situation.

According to Elisa mobility data, fewer people stayed at home last week than before, but people are still careful about moving around. In the last week of the emergency situation, 65 percent of people in Estonia tended to stay at home, which is 4 percent less than at the end of April and the beginning of May.

“Statistics from the last few days show that the economy is opening up and people are returning to their normal rhythm of movement. This is a moment that everyone has undoubtedly been looking forward to, and hopefully spring, with increasingly warm weather, will encourage movement in the open air rather than gathering together indoors,” Mailiis Ploomann, head of Elisa’s telecom services, said.

Last week, the people of Hiiu County stayed at home the most and people in Voru County are still staying at home the least.

Ploomann, who herself wholeheartedly supports the relaunch of the economy, urges entrepreneurs to rethink their work arrangements in the light of the past emergency situation. “Now is the time for your employees to put in place a new work organization and make all the necessary changes so that the next possible wave and restrictions can be put in place so that work can continue as smoothly as possible. The latter should be done not only out of fear, but on the contrary, what has been learned in the last two months should be used as a good example of making your business more flexible and modern,” she added.

The unique mobility analysis was created in collaboration with MindTitan data scientists using artificial intelligence. Only the data of the Elisa network were used as the source, but it can be assumed that the overall picture of the entire population would look quite similar. Elisa has been operating in various artificial intelligence domains for three years.

“The recent crisis has taught us that it is possible to build very different buildings on a well-laid universal foundation according to what the surrounding environment currently requires. The models for analyzing the Elisa network were quickly reoriented to new tasks in the crisis situation. In this way, we were able to provide real facts to all those who had to make quick decisions during this tumultuous time, both in the public and private sectors,” Ploomann said.

MindTitan CEO Kristjan Jansons said that the mobility analysis is a good example of how big data analysis helps to make informed decisions. Also, how companies that use artificial intelligence throughout the organization use the output of one artificial intelligence model as a valuable input when developing several other systems.

“At best, there are situations where multiple artificial intelligence solutions amplify each other, creating more value by working together than creating they would as separate solutions. This is also the case with Elisa, where the solution originally developed for mobile network development planning was helpful during the current crisis, where the output of the previous solution could be quickly used in this case,” he added.

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