Optimizing Oracle ERP Implementations for Large Scale Organizations
Main Article Content
Abstract
Optimizing Oracle ERP implementations for large-scale organizations is essential to enhance operational efficiency, improve resource management, and achieve strategic business objectives. This study explores the key factors that influence the successful deployment and optimization of Oracle ERP systems within expansive corporate environments. It identifies the challenges faced during implementation, such as data integration issues, user adoption, and system customization, which can hinder performance and limit the realization of full potential benefits.
The research employs a mixed-method approach, incorporating quantitative data analysis and qualitative case studies to assess best practices in optimizing Oracle ERP systems. It emphasizes the importance of stakeholder engagement, rigorous change management processes, and continuous training programs to ensure user proficiency and system adaptability. Furthermore, the study highlights the role of advanced analytics and automation in streamlining operations and enhancing decision-making capabilities.
By presenting a comprehensive framework that encompasses planning, execution, and evaluation phases, this research provides insights into effective strategies for optimizing Oracle ERP implementations. The findings aim to equip large-scale organizations with actionable recommendations, enabling them to leverage their ERP systems to drive innovation, reduce operational costs, and enhance competitive advantage. Ultimately, this study contributes to the ongoing discourse on ERP optimization, offering a pathway for organizations to achieve sustainable growth in an increasingly complex business landscape.
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• Cheruku, S. R., Jain, A., & Goel, O. (2024). "Advanced Techniques in Data Transformation with DataStage and Talend." SHODH SAGAR® International Journal for Research Publication and Seminar, 15(1), 202–227. DOI:10.36676/jrps.v15.i1.1483
• Cheruku, Saketh Reddy, Shalu Jain, and Anshika Aggarwal. (2024). "Managing Data Warehouses in Cloud Environments: Challenges and Solutions." International Research Journal of Modernization in Engineering, Technology and Science, 6(8). DOI:10.56726/IRJMETS61249
• Cheruku, S. R., Pandian, P. K. G., & Goel, P. (2024). "Implementing Agile Methodologies in Data Warehouse Projects." SHODH SAGAR® International Journal for Research Publication and Seminar, 15(3), 306. DOI:10.36676/jrps.v15.i3.1498
• Murthy, Kumar Kodyvaur Krishna, Pandi Kirupa Gopalakrishna Pandian, and Punit Goel. (2024). "Technology Investments: Evaluating and Advising Emerging Companies in the AI Sector." International Journal of Computer Science and Engineering (IJCSE), 13(1), 77-92.
• Murthy, Kumar Kodyvaur Krishna, Arpit Jain, and Om Goel. (2024). "The Evolution of Digital Platforms in Hospitality and Logistics: Key Trends and Innovations." International Research Journal of Modernization in Engineering, Technology, and Science, 6(8). DOI:10.56726/IRJMETS61246
• Ayyagiri, A., Aggarwal, A., & Jain, S. (2024). Enhancing DNA Sequencing Workflow with AI-Driven Analytics. SHODH SAGAR: International Journal for Research Publication and Seminar, 15(3), 203. Available at.
• Ayyagiri, A., Goel, P., & Renuka, A. (2024). Leveraging AI and Machine Learning for Performance Optimization in Web Applications. Darpan International Research Analysis, 12(2), 199. Available at.
• Ayyagiri, A., Jain, A. (Dr.), & Goel, O. (2024). Utilizing Python for Scalable Data Processing in Cloud Environments. Darpan International Research Analysis, 12(2), 183. Available at.
• Ayyagiri, A., Gopalakrishna Pandian, P. K., & Goel, P. (2024). Efficient Data Migration Strategies in Sharded Databases. Journal of Quantum Science and Technology, 1(2), 72–87. Available at.
• Musunuri, A., Jain, A., & Goel, O. (2024). Developing High-Reliability Printed Circuit Boards for Fiber Optic Systems. Journal of Quantum Science and Technology, 1(1), 50. Available at.
• Musunuri, A., Pandian, P. K. G., & Goel, P. (Prof. Dr.). (2024). Challenges and Solutions in High-Speed SerDes Data Path Design. Universal Research Reports, 11(2), 181. Available at.
• Musunuri, A. (2024). Optimizing High-Speed Serial Links for Multicore Processors and Network Interfaces. Scientific Journal of Metaverse and Blockchain Technologies, 2(1), 83–99. Available at.
• Musunuri, A., Punit Goel, & Renuka, A. (2024). Effective Methods for Debugging Complex Hardware Systems and Root Cause Analysis. International Journal of Computer Science and Engineering, 13(1), 45–58. Available at.
• Musunuri, A., Akshun Chhapola, & Jain, S. (2024). Simulation and Validation Techniques for High-Speed Hardware Systems Using Modern Tools. International Research Journal of Modernization in Engineering, Technology and Science, 6(8), 2646. Available at.
• Ayyagiri, A., Goel, O., & Renuka, A. (2024). Leveraging Machine Learning for Predictive Maintenance in Cloud Infrastructure. International Research Journal of Modernization in Engineering, Technology and Science, 6(8), 2658. Available at.
• Ayyagiri, Aravind, Om Goel, & Jain, S. (2024). Innovative Approaches to Full-Text Search with Solr and Lucene. SHODH SAGAR® Innovative Research Thoughts, 10(3), 144. Available at.
• Tangudu, A., Jain, A. (Prof. Dr.), & Goel, O. (2024). Effective strategies for managing multi-cloud Salesforce solutions. Universal Research Reports, 11(2), 199. Shodh Sagar. https://doi.org/10.36676/urr.v11.i2.1338
• Mokkapati, C., Jain, S., & Aggarwal, A. (2024). Leadership in platform engineering: Best practices for high-traffic e-commerce retail applications. Universal Research Reports, 11(4), 129. Shodh Sagar. https://doi.org/10.36676/urr.v11.i4.1339
• Mokkapati, C., Goel, P., & Renuka, A. (2024). Driving efficiency and innovation through cross-functional collaboration in retail IT. Journal of Quantum Science and Technology, 1(1), 35. Mind Synk. https://jqst.mindsynk.org
• Mokkapati, Chandrasekhara, Akshun Chhapola, and Shalu Jain. (2024). The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps. Shodh Sagar® Global International Research Thoughts, 12(2), 23. https://doi.org/10.36676/girt.v12.i2.117