Introduction

Understand your Client

Small Organization with Basic Requirements				Medium/Large Organization with Complex Requirements
Small number of users Mostly inside the design department Designers are responsible for configuring and learning new tools whilst also doing their day job Expect to be productive immediately May not have time to do the setup and configuration themselves				High number of users Includes users outside of the design department Cross department collaboration Dedicated administrator End users will be trained on the configured platform Requires process specific workflows Process specific admin and user training required

On the other side of the coin are larger organizations who more than likely have more complex needs and requirements. These customers typically have more users who are not just designers. But usually other departments and collaborators are involved. Its There will be a dedicated system administrator that you will work with to configure the platform, and its more than likely that the SOLIDWORKS users will only ever see the final outcome of the configured 3DEXPERIENCE platform. You will need to plan ahead working with the customer to understand their processes today, and what they may become in the future. 

There are no set rules when it comes to customer size versus the complexity of their data management requirements. You will also encounter small organizations that have complex requirements, and larger customers that have basic requirements. Therefore, effective scoping and planning is critical to the successful adoption of the 3DEXPERIENCE Works portfolio no matter who the customer is.

Failure to plan properly for data management software implementations can have several negative business effects for the customer which could lead to churn. 

• Cost overruns: Inadequate planning can lead to budget overruns as unexpected expenses arise during the implementation process. This can include additional hardware or software requirements, customization needs, training costs, and potential delays that result in extended project timelines.
• Disruption to operations: Poor planning can cause significant disruptions to daily business operations. If the implementation process is not well-thought-out, it can lead to system downtime, data loss, or inconsistent data quality, negatively impacting the organization's ability to carry out its functions smoothly.
• Inefficient workflows: Without proper planning, the implementation of data management software may not align with existing business processes and workflows. This can result in inefficiencies and difficulties in integrating the new software into the organization's operations. Employees may have to spend additional time and effort to adapt to the new system, leading to decreased productivity.
• Data integrity issues: Inadequate planning can compromise data integrity and accuracy. If data migration processes are not carefully planned and executed, it can result in data inconsistencies, loss of historical data, or data corruption. Poor data quality can undermine decision-making processes and negatively impact the organization's ability to generate reliable insights and reports.
• Ineffective utilization: If data management software implementations are poorly planned, employees may not fully understand or utilize the capabilities of the software. This can lead to underutilization of the system's features, limiting its potential benefits for the organization. In some cases, the software may not meet the organization's requirements at all, resulting in wasted resources and a need to seek alternative solutions.
• Resistance to change: Poor planning can contribute to resistance from employees and stakeholders. If the implementation process is not well-communicated, employees may feel uncertain or resistant to change, impacting their willingness to adopt and embrace the new software. This resistance can further hinder the successful implementation and utilization of the software.
• Reputational damage: A poorly planned data management software implementation can negatively impact the organization's reputation. If the system fails to meet expectations or causes significant disruptions to customers or partners, it can erode trust and confidence in the organization's ability to handle data effectively. This can lead to reputational damage and potential loss of business opportunities.

To mitigate these negative effects, it is essential to invest time and resources in comprehensive planning, including requirements gathering, project scoping, change management, stakeholder engagement, and thorough testing to ensure a successful data management software implementation.

Summary

• Know your clients and align to their meaning of success
• Utilize the many tools and knowledge resources available
• Continuously engage with your clients
• We are here to help you and your clients succeed

Feedback

Was this page useful?

Hit the Like Button or let us know what we can improve in the comments section below.