在计算机、大数据未普及的时代，搜集数据或找寻答案均需通过人工，费时又费

在计算机、大数据未普及的时代，搜集数据或找寻答案均需通过人工，费时又费力。因此，数据规模也有局限。但是如今，搜集、处理和分析数据都不再是障碍，人们面临最具挑战的问题是——如何问对问题。

結果 (英文) 1:

In the era of computers, data is not universal, collecting data or find answers through manual, time-consuming and laborious. Therefore, the data size is also limited. But now, the collection, processing and analysis of data are no longer a barrier, people face the most challenging problem is--how to ask the right questions.

結果 (英文) 2:

In the computer, not the popularity of big data era, data collection or find the answer required by manual, time-consuming and laborious. Therefore, the data size has limitations. Today, however, the collection, processing and analysis of data are no longer a barrier, people are faced with the most challenging question of all - how to ask the right questions.

結果 (英文) 3:

In the computer, the era of big data is not universal, to collect data or find the answers are required by artificial, time-consuming and laborious. Therefore, there are limits to the size of the data. But now, collecting, processing and analyzing data is no longer an obstacle, people are facing the most challenging problem is how to ask the right question.