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ERP Selection Process with Overview on AI for ERP
Rating: 3.6 out of 5(15 ratings)
48 students

ERP Selection Process with Overview on AI for ERP

ERP Evaluation for Organization Adoption with a clear definition of where AI can be used to enhance ERP Value.
Last updated 1/2025
English

What you'll learn

  • The students can understand the Role of ERP in Business Operations
  • Plan the ERP Selection and Implementation Timeline
  • Evaluate and Compare different ERP Products suitable for the identified business requirements
  • Build a Case for ERP Investment
  • Identify Business Requirements and Stakeholder Needs
  • Understand how different ERP Vendors are using Artificial Intelligence Extensions

Course content

12 sections10 lectures1h 51m total length
  • Introduction to ERP Selection Process Course10:07

    This lecture explains the overview of the course, contents and benefits

Requirements

  • Should have basic understanding of ERP Applications

Description

Enterprise Resource Planning (ERP) applications have revolutionized the way organizations operate by fostering high levels of collaboration across various departments and functions. With emerging technologies built using Artificial Intelligence, ERP utility value enhanced.

By providing an integrated view of operations, ERP systems enable organizations to streamline internal processes, empower decision-making at multiple levels, and maintain comprehensive control over their strategic frameworks.

However, given the extensive functionality and the ability to handle numerous transactions simultaneously, ERP applications are inherently complex, making them challenging to understand, adopt, and implement. Organizations often consider ERP adoption during periods of growth, which further complicates the selection process due to evolving requirements and increased expectations.

With the rise of Artificial Intelligence, ERP vendors are increasingly integrating AI-powered assistants into their products to enhance functionality and user experience. Examples include SAP Joule, Oracle Digital Assistant (ODA), Microsoft Dynamics 365 Copilot, IBM Watson for IBM Maximo, and Infor Coleman, among others. These AI assistants are transforming how businesses interact with ERP systems, enabling smarter decision-making and streamlined operations.

Choosing and implementing an ERP system is a critical and challenging decision for organizations, primarily due to the following factors:

  • High Costs: Acquiring, implementing, and maintaining ERP applications involves significant financial investment.

  • Comprehensive Coverage: ERP systems span across all organizational departments, making it difficult to assess and identify the best fit for the organization’s unique needs.

  • Cultural and Operational Resistance: ERP increases transparency and assigns clear responsibilities, which some stakeholders may resist.

  • Knowledge Democratization: By sharing information across the organization, ERP systems can face resistance from those accustomed to centralized control of knowledge.

Given these complexities, a systematic and strategic approach is essential for ERP selection to ensure that potential challenges are addressed and the most suitable application is chosen.

This course aims to demystify the ERP selection process, offering insights and best practices tailored for strategy consultants, organizational decision-makers such as CIOs, IT Heads, and Solution Architects, as well as other key stakeholders involved in ERP adoption.

Who this course is for:

  • ERP Strategy Consultants, CIOs, IT Heads, CFOs, Finance Comptrollers, Business Division Heads