The success of Enterprise-Resource-Planning (ERP) programs is critical to business transformation programs as they determine the capability to change. In most implementations, companies focus on the system implementation and overlook the business transformation required for success. KPMG’s consultants help our clients to evaluate, implement and improve ERP solutions.
- ERP Strategy: The ERP strategy and roadmap are the foundation for the effective alignment of your IT landscape with your business strategy. KPMG supports our clients in defining the ERP strategy and roadmap where we differentiate in being independent in our advice on ERP cost, ERP solutions and roadmaps.
- Client-side advisory: Many ERP projects are coming in late, over budget or are not delivering the expected value. KPMG helps our clients to plan, design and execute ERP transformation programs. Our dedicated ERP practitioners have an in-depth knowledge of the key ERP applications such as SAP, Oracle and Microsoft and have insights in the latest technology developments.
- Quality Assurance: By providing Quality Assurance KPMG provides an independent and objective view on your ERP program. Our approach, methodology and tools are designed to be flexibly meet your specific needs. We can embed it within your project methodology or share our opinion via a one-time assessment. This all to help you managing the risks and increase the likelihood of success.
- Master Data Management (MDM): MDM is the set of procedures, governance, policies, standards, and tools to manage master data in an organization. From our experience MDM is a key element in ERP programs to achieve efficient and effective business processes and consistent reporting. KPMG developed a comprehensive MDM framework and methodology to assess current MDM capabilities and support an organization’s transformation through the journey of the “first-time-right” data.
ERP Strategy and Roadmap (PDF)
ERP Quality Assurance (PDF)
Master Data Management (PDF)
Preparing for the next wave (PDF)
SAP licensing analysis and assessment (PDF)