How to effectively carry out copywriting investigation methods in the era of big data?

Investigators should meet the following requirements when conducting copywriting investigation: extensiveness, pertinence, timeliness and continuity.

An extensive and copywriting investigation must be thorough in collecting existing information, and a large amount of valuable information should be collected through various information channels and opportunities. Generally speaking, there must be both macro data and micro data; There must be both historical data and realistic data; There should be both comprehensive data and typical data.

Big data, or huge amount of data, refers to the information that involves so much data that mainstream software tools can't capture, manage, process and sort it out at present, so as to help enterprises make more active business decisions within a reasonable time. (In The Age of Big Data, co-authored by Victor Meyer-Schoenberg and Kenneth Cookeye, big data refers to the method of using all data, not the shortcut of random analysis (sampling survey). The 36V characteristics of big data are: volume (mass), speed (high speed), diversity (diversity) and authenticity (authenticity). Big data needs special technologies, including large-scale parallel processing (MPP) database, data mining power grid, distributed file system, distributed database, cloud computing platform, Internet and scalable storage system.