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ISSN Number:
2582-8568


Journal DOI No:
03.2021-11278686

Title:
Big Data Analytics: A Key success to Software Project

Authors:
Mrs. Pragati Ankush Pachore

Cite this Article:
Mrs. Pragati Ankush Pachore ,
Big Data Analytics: A Key success to Software Project ,
International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India), Page No : 36-39,
Available at : http://irjhis.com/paper/IRJHISIC2401005.pdf

Abstract:

The process of evaluating large and complicated data and turning it into a form that is accurate, comprehensible, and actionable is known as big data analytics. The success rate of software projects is increased through the application of big data analytics in project management. It can reveal the project schedule, make the appropriate decisions, and keep the project moving forward. It lessens problems with privacy, data quality, and project manager training. Big data analytics makes it simple to identify and manage risk by tracking its occurrence, unlike traditional risk management, which relies on historical data and periodic reporting that can lead to abrupt and unanticipated changes in the market environment. Project managers can better manage project risk with the aid of big data analytics. Advanced analytics methods that businesses can use include text analysis, machine learning, predictive analytics and data mining.



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Publication Details:
Published Paper ID: IRJHISIC2401005
Registration ID: 21285
Published In: Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India)
Page No: 36-39
ISSN Number: 2582-8568

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ISSN Number

ISSN 2582-8568

Impact Factor

5.71 (2021)

DOI Member


03.2021-11278686