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How effective is the copywriting survey method in the era of big data?
Investigators should meet the requirements of the following aspects when conducting a copywriting survey: extensiveness, relevance, timeliness, continuity.

Breadth, copywriting survey on the collection of existing information must be thorough, through a variety of information channels, the use of a variety of opportunities to take a variety of ways to collect a large number of valuable information in all aspects. Generally speaking, both macro information and micro information; both historical information and realistic information; both comprehensive information and typical information.

Large data (big data), or giant data, refers to the amount of information involved in the scale is so large that it can not be achieved through the current mainstream software tools, in a reasonable period of time to capture, manage, process, and organize to become a more positive purpose to help business decision-making information. (In Victor Mayer Sch?nberg and Kenneth Cukier's "The Age of Big Data", Big Data refers to the use of all data without using shortcuts such as randomized analysis (sampling).) The 36V characteristics of Big Data: Volume (large amount), Velocity (high speed), Variety (diverse), veracity (authenticity). Big Data requires special technologies, including massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.