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Big data and data analytics related projects are attracting researchers, practitioners, and policymakers around the globe. In order to increase the probability of a project success and to get competitive advantages, stakeholders need to have solid understanding of the main objectives, risks, requirements, and the used technologies. This is a challenging task, especially for a big sized project based on new introduced technologies. Using the design science methodology, this paper attempts to answer the following question: How can the requirements of a project be identified and analyzed to determine the suitability of a combined big data technology application? The main objective is a suitable procedure to determine the most relevant requirements as well as the suitability of the combined use of big data technologies in projects. Thus, a new process model will be proposed, detailed, and evaluated. Then, all findings will be discussed and a comprehensive outlook for further research will be highlighted.

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Aug 10th, 12:00 AM

Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects

Big data and data analytics related projects are attracting researchers, practitioners, and policymakers around the globe. In order to increase the probability of a project success and to get competitive advantages, stakeholders need to have solid understanding of the main objectives, risks, requirements, and the used technologies. This is a challenging task, especially for a big sized project based on new introduced technologies. Using the design science methodology, this paper attempts to answer the following question: How can the requirements of a project be identified and analyzed to determine the suitability of a combined big data technology application? The main objective is a suitable procedure to determine the most relevant requirements as well as the suitability of the combined use of big data technologies in projects. Thus, a new process model will be proposed, detailed, and evaluated. Then, all findings will be discussed and a comprehensive outlook for further research will be highlighted.