In this video, We discuss the top mistakes that organizations make during an ERP implementation and how to avoid them. The five key mistakes to avoid are:
1. Lack of Proper Planning: Organizations often fail to have a proper plan in place, which is essential to ensure a clear understanding of the project's goals, timelines, and resources needed before beginning the implementation process.
2. Not Involving Key Stakeholders: It is crucial to involve all relevant departments and individuals in the planning and implementation process to ensure that everyone is on board and invested in the project's success.
3. Ignoring Data Quality Issues: ERP systems rely heavily on accurate and reliable data. Addressing data quality issues before implementing an ERP system is crucial to ensure that the data is accurate and reliable.
4. Inadequate Training: Implementing an ERP system requires significant changes to an organization's processes and procedures. Adequate training is essential to ensure that users are comfortable and confident using the new system.
5. Not Testing the System Thoroughly: Thoroughly testing the system before going live is crucial to ensure that it's working as intended and that any issues are addressed before they become bigger problems.
By avoiding these mistakes and following best practices, organizations can ensure a successful ERP implementation. Finbyz Tech offers ERPNext implementation services and free consultation to help organizations avoid these common mistakes. Thank you for watching, and we hope you found this video helpful!
Comment with your questions or doubts if any. Also, suggest if you would like us to create videos for any specific functionality of ERPNext.
Finbyz Tech Pvt Ltd is a Certified ERPNext Partner. We have a team of skilled resources who can help you in your ERPNext Implementation journey. Please feel free to reach out to us for any ERPNext implementation or customization needs. : [ Ссылка ]
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Timecodes :
00:00 Intro
00:21 1.LACK OF PROPER PLANNING
0:45 2.NOT INVOLVING KEY STAKEHOLDERS
01:10 3.IGNORING DATA QUALITY ISSUES
01:34 4.INADEQUATE TRAINING
01:57 5.NOT TESTING THE SYSTEM THOROUGHLY
02:25 Conclusion
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