The Age of the Algorithm Part 2 – Data Fusion

The purposes of this paper is how we extract as much information as possible from our respondents. 本文將介紹,我們是如何盡可能地在受訪者能接受的時間內,獲得更多受訪者的資訊。在上一個章節中我們介紹了資料歸屬(data ascription),這一篇將繼續介紹資料融合(data fusion)及其他統計方法及其應用。

The Age of the Algorithm Part 2 – Data Fusion

The author(s)

  • Andrew Green Ipsos Connect, UK
  • Mario Paic Ipsos Connect, UK
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Survey data alone is no longer enough to capture the complexities of a fast-changing media environment, with more content choices and more distribution platforms from which to access them. We are demanding more and more from our respondents at a time when many are becoming less willing to participate in long or boring surveys. Employing statistical techniques allows us to collect less data from individuals and to tolerate less precision in their answers.

We have already introduced date ascription in the last part, and in the following we will talk about data fusion and other application of algorithm.

 

演算法的時代 章節2/2 – 資料融合(Data Fusion)及其他應用

僅有調查資料本身,已不足以捕捉快速變化的媒體環境,越來越多的傳播平台以及資訊轟炸,讓受眾已經不再有耐心參加漫長乏味的調查。而統計技術讓行銷人員不用蒐集太多資料就能預測消費者行為,並且對資料精確度也有較高的容忍度。

在上一個章節中我們介紹了資料歸屬(data ascription),這一篇將繼續介紹資料融合(data fusion)及其他統計方法及其應用。

The author(s)

  • Andrew Green Ipsos Connect, UK
  • Mario Paic Ipsos Connect, UK