Start Date
11-8-2016
Description
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.
Recommended Citation
Volk, Matthias; Hart, Stefan; Bosse, Sascha; and Turowski, Klaus, "How much is Big Data? A Classification Framework for IT Projects and Technologies" (2016). AMCIS 2016 Proceedings. 17.
https://aisel.aisnet.org/amcis2016/ITProj/Presentations/17
How much is Big Data? A Classification Framework for IT Projects and Technologies
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.