Specifically, this study reviews trade journals, news articles, blogs, and industry reports published from 2018-2023 to identify common data science failure ...

Due to the high failure rate in these undertakings, new approaches to support the project management are urgently needed. The use of appropriate technologies ...

Despite unprecedented development, many data science projects fail to achieve desired outcomes. This paper presents a work-in-progress systematic literature ...

Oct 16, 2020 · The survey resulted first in a list of hints for helping avoid the failure of the BD/A projects (RQ2), and in a list of 21 cases of failed BD/A ...

Jan 25, 2024 · Data Science Failure: A Literature Review https://t.co/TSqDBbb5gT.

Feb 1, 2024 · To identify the potential reasons for failure of data science projects, an in-depth understanding of potential risks and measures for mitigation ...

A literature review of big data and analytics projects aimed at finding hints for helping avoid the failure of the BD/A projects and the challenges proposed ...

Missing: Literature | Show results with:Literature

Actually, most data-driven strategy implementations fail to deliver the estimated value [19] , and the causal factors that can explain the failure of data- ...

Missing: Science | Show results with:Science