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  Published Paper Details:

  Paper Title

Transforming Legacy Systems: Strategies for Successful ERP Implementations in Large Organizations

  Authors

  KUMAR KODYVAUR KRISHNA MURTHY,  VIKHYAT GUPTA,  PROF.(DR.) PUNIT GOEL

  Keywords

ERP implementation, legacy systems transformation, data migration, change management, system integration, cloud ERP, vendor selection, post-implementation optimization, large organizations, enterprise resource planning

  Abstract


Transforming legacy systems into modern Enterprise Resource Planning (ERP) systems is a complex but crucial task for large organizations striving to maintain competitiveness and operational efficiency. Legacy systems, often characterized by outdated technologies, limited integration capabilities, and high maintenance costs, pose significant challenges during ERP implementations. This paper explores the strategies that large organizations can employ to ensure successful ERP implementations, focusing on overcoming the unique challenges associated with legacy systems. One of the primary challenges in legacy system transformation is data migration. Organizations must ensure that data from outdated systems is accurately and efficiently transferred to the new ERP system without loss of integrity. This paper highlights best practices for data cleansing, mapping, and validation, which are essential for mitigating the risks associated with data migration. Additionally, the paper discusses the importance of establishing a robust data governance framework to maintain data quality throughout the implementation process. Change management is another critical factor in the success of ERP implementations. The paper emphasizes the need for organizations to develop comprehensive change management strategies that address the cultural and operational shifts required by ERP systems. This includes stakeholder engagement, training programs, and continuous communication to ensure that all levels of the organization are aligned with the transformation objectives. Integration of the ERP system with existing IT infrastructure is another significant challenge, particularly in large organizations with complex technology landscapes. The paper outlines strategies for seamless integration, including the use of middleware, APIs, and microservices architectures to ensure that the new ERP system can interact effectively with other enterprise systems. This section also examines the role of cloud-based ERP solutions in facilitating integration and scalability. The paper further discusses the importance of selecting the right ERP solution that aligns with the organization's strategic goals and operational needs. It provides a framework for evaluating ERP vendors and solutions, considering factors such as scalability, customization capabilities, and support services. The role of external consultants in providing expertise and guidance during the selection and implementation process is also explored. Finally, the paper addresses the post-implementation phase, which is critical for realizing the benefits of ERP systems. It emphasizes the need for continuous monitoring, optimization, and support to ensure that the ERP system evolves with the organization's needs. The paper concludes with a discussion on the future trends in ERP implementations, including the rise of AI and machine learning in enhancing ERP functionalities and decision-making processes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106900

  Paper ID - 268054

  Page Number(s) - h604-h618

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  KUMAR KODYVAUR KRISHNA MURTHY,  VIKHYAT GUPTA,  PROF.(DR.) PUNIT GOEL,   "Transforming Legacy Systems: Strategies for Successful ERP Implementations in Large Organizations", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.h604-h618, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106900.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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