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Is 'The Bigger the Better' Always True? Big Data and Knowledge Production in Marketing Research

机译:总是真的'更大的更好'吗?营销研究中的大数据和知识生产

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The amount of data, the speed of data in and out, and the range of data types and sources allow us to differentiate Big Data from analytics and mere data. Imagine scatterplots overflowed with observations added every second to become a rough cloud that masks underlying relationships, or the possibility to predict the success of a book, a bankruptcy, or even a pregnancy. This is Big Data. One can understand pros and cons of big data by taking the example of photographs. Twenty years ago we were taking pictures with only one device and we had to take our film to be developed. Today we use mobile phones, tabs, webcams, cameras or even video cameras. Prices for storage and CPU technologies have been decreasing and let the opportunity for consumers to take thousands of photographs with different devices. Big data starts here; the amount of pictures and the numerous sources: 1. Imply to organize the data, but how? 2. Prevent us from seeing them all, therefore data are not entirely known.
机译:数据量,进出数据的速度以及数据类型和源的范围允许我们从分析和数据中区分大数据。想象一下,随着观测结果溢出的散点图增加了每秒,成为粗糙的云,这些云掩盖了潜在的关系,或预测书籍成功,破产,甚至怀孕的可能性。这是大数据。通过扮演照片的示例,可以了解大数据的优缺点。二十年前,我们只拍了一个设备,我们不得不采取电影即可发展。今天我们使用手机,标签,网络摄像头,相机甚至摄像机。存储和CPU技术的价格一直在减少,让消费者使用数千个与不同设备的照片。大数据在这里开始;图片和众多来源的数量:1。暗示组织数据,但如何? 2.防止我们看到全部,因此数据并不完全知道。

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