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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Predictive Analytics for Financial Forecasting in SAP ERP Systems Using Machine Learning
Authors
Surya Sai Ram Parimi
Keywords
Predictive Analytics, , Financial Forecasting, SAP ERP Syatem, machine learning algorithms
Abstract
This paper explores the integration of machine learning (ML) techniques for enhancing financial forecasting within SAP ERP systems. It surveys regression models, time series forecasting models (ARIMA, SARIMA, Prophet), and ensemble methods tailored for ERP environments, emphasizing their applications in predicting future financial trends with accuracy. Novel contributions include strategies for data quality management, methodologies for seamless model deployment, and considerations for ethical and regulatory compliance in ML-driven forecasting. Future directions focus on advancing real-time capabilities and fostering interdisciplinary collaborations to innovate financial management practices in dynamic market environments, thereby empowering organizations with informed decision-making tools.
IJCRT's Publication Details
Unique Identification Number - IJCRT1135629
Paper ID - 266304
Page Number(s) - 288-295
Pubished in - Volume 4 | Issue 1 | January 2016
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Surya Sai Ram Parimi, "Predictive Analytics for Financial Forecasting in SAP ERP Systems Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 1, pp.288-295, January 2016, Available at :http://www.ijcrt.org/papers/IJCRT1135629.pdf
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Volume 14 | Issue 2
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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