How much is Big Data? A Classification Framework for IT Projects and Technologies

被引：0

作者：

Volk, Matthias ^{[1
]}

Hart, Stefan ^{[1
]}

Bosse, Sascha ^{[1
]}

Turowski, Klaus ^{[1
]}

机构：

[1] Otto von Guericke Univ, Fac Comp Sci, Magdeburg Res & Competence Cluster Very Large Bus, Magdeburg, Germany

来源：

AMCIS 2016 PROCEEDINGS | 2016年

关键词：

Big Data; Characteristics; Classification Framework; IT Project Success;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

IT Projects related to Big Data topics are often less successful than anticipated. One reason for that is uncertainty about the suitability of Big Data technologies for certain project settings. Gartner's Data Magnitude Index has been developed to address this problem. However since its introduction in 2012, Big Data characteristics and metrics have been adapted. Therefore, we develop a quantitative classification framework for Big Data problems and technologies on the basis of a structured literature review and an analysis of 51 use-cases. The application of the framework in two scenarios of an European consulting company demonstrate the suitability of the framework to assess Big Data-related project settings. Using this information, success of Big Data projects should be improved.

引用

页数：10

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