Why Data Science Projects Fail

Data Science is a modern Data Intelligence practice, which is the core of many businesses and helps businesses build smart strategies around to deal with businesses challenges more efficiently. Data Science practice also helps in automating business processes using the algorithm, and it has several...

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Bibliographic Details
Main Author Panda, Balaram
Format Journal Article
LanguageEnglish
Published 08.08.2023
Subjects
Computer Science - Computers and Society
Computer Science - Databases
Computer Science - Learning
Statistics - Methodology
Online AccessGet full text
DOI10.48550/arxiv.2308.04896

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Summary:Data Science is a modern Data Intelligence practice, which is the core of many businesses and helps businesses build smart strategies around to deal with businesses challenges more efficiently. Data Science practice also helps in automating business processes using the algorithm, and it has several other benefits, which also deliver in a non-profitable framework. In regards to data science, three key components primarily influence the effective outcome of a data science project. Those are 1.Availability of Data 2.Algorithm 3.Processing power or infrastructure
DOI:10.48550/arxiv.2308.04896