Wednesday, May 31, 2023 | 1:00 PM - 2:00 PM (ET)
Is Your ERP Outdated? It is an important question for organizations looking to improve their business operations and streamline processes. This topic will cover various areas, including the evaluation of the current ERP system, identifying key factors that indicate the ERP is outdated, the impact of an outdated ERP on business operations, and strategies for managing the change to a new ERP system. The discussion will also address the importance of effective change management practices, including training and support for employees, to ensure a smooth transition. Overall, the content will focus on helping organizations make informed decisions about updating their ERP systems and minimizing the risk associated with this process.
Join us Wednesday, May 31, or a discussion exploring how modern professional services organizations can better assess current ERP system efficiency and determine needs for new ERP implementation and important elements of managing the change process.
This topic will cover various areas, including the evaluation of the current ERP system, identifying key factors that indicate the ERP is outdated, the impact of an outdated ERP on business operations, and strategies for managing the change to a new ERP system.
Consulting Magazine and Velosio have assembled some of the industry’s leading professionals to examine this issue in a roundtable format moderated by Consulting’s Michael Webb.
You will come away from this webinar with a better understanding of how you can ensure stability during volatile economic times by strategic use of data management, analytics, and the tools and tactics necessary to keep pace with an ever-changing market. Participants should come away from this discussion with a better overall understanding of key metrics to measure the efficiency of current ERP systems; important elements for new system implementation; and managing the change process in order to make informed decisions about updating ERP systems and minimizing the risk associated with this process.