Your ERP system is facing performance issues. How do you explain the solutions to non-tech stakeholders?
When your Enterprise Resource Planning (ERP) system runs into performance problems, it's crucial to communicate solutions effectively to non-tech stakeholders. Here's how you can break it down clearly:
What strategies have you found effective in explaining technical issues to non-tech stakeholders?
Your ERP system is facing performance issues. How do you explain the solutions to non-tech stakeholders?
When your Enterprise Resource Planning (ERP) system runs into performance problems, it's crucial to communicate solutions effectively to non-tech stakeholders. Here's how you can break it down clearly:
What strategies have you found effective in explaining technical issues to non-tech stakeholders?
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When faced with performance issues in your ERP system, it’s essential to communicate effectively with your team. Imagine your ERP as a finely tuned machine; just like a car needs a regular tune-up to run smoothly, your system requires occasional maintenance to keep it efficient. By addressing these performance hiccups, we not only enhance productivity but also empower our teams to work more seamlessly. As we implement these solutions, we’ll keep everyone informed, ensuring that the journey toward improvement is clear and collaborative. Together, we can turn these challenges into opportunities for growth and success!
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A lot of 'performance issues' with ERP systems can be traced back to: (1) a suboptimal data structure, (2) poor filtering and querying and (3) insufficient alignment between the ERP system and the processes of a business. Always go back to the root cause! To explain this to non-tech stakeholders I always try to find an example that relates closely to the business the person is working in.
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identified All Background Job and ensure all are executed correctly as per the schedule dates & time..one of the said jobs, May consuming huge executions time, due to invalid inputs parameters or gatherings huge data, which cause system performance issues. Periodic load balancer on ERP Servers, to identify the most used servers and distribute the load amongst the servers, especially during beak time. I. E. Monthly & Yearly Financial closing activity Applying SAP lates Batches and ensure you are using the lates SAP security Batches and ensure none of your servers are outdated which could be one of ERP performance issues.
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When explaining technical issues to non-tech stakeholders, it's essential to use simple language and focus on the business impact. I often compare tech problems to real-world scenarios, like a slow internet connection, to make it relatable. I also emphasize how resolving issues will directly benefit productivity, reduce downtime, and increase efficiency. Providing clear timelines for resolution and actionable steps reassures stakeholders that the problem is being addressed without overwhelming them with technical jargon.
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To explain ERP performance issues to non-tech stakeholders, focus on the business impact rather than technical details. Start by highlighting how the performance slowdown affects productivity, delays in decision-making, or customer service. Then, outline the solutions in simple terms, such as optimizing the system’s data processing speed, increasing server capacity, or improving database management. Emphasize how these fixes will lead to faster operations, better user experience, and smoother workflows, ultimately supporting business growth and efficiency.
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Imagine your ERP system is like a busy highway. When too many cars (data) try to pass through at once, traffic jams happen (slow performance). To fix this, we can widen lanes (optimize the database) and add traffic lights (set better processes) to manage flow. This makes everything move faster, with fewer bottlenecks. By upgrading software or improving settings, we can help the system work smoothly again, just like fixing a road to avoid delays.
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If the ERP system is slow, it could be due to a recent update. These changes may take time to fully process, but things gets stabilized with time. Keeping stakeholders informed in advance can help manage expectations. If any specific server gets overloaded during peak business hours, end-users start escalating. Guiding users to use a "load-balanced" server group helps avoid such confusion which they relate to system performance. Also, extracting large amounts of data in real-time can slow down the system. Educating users to run heavy queries as background jobs can help maintain optimal system performance.
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