Introduction

Enterprise resource planning (ERP) systems usually have a life expectancy of 15-20 years, so most organisations might not experience a full-term ERP implementation. However, at no other time will you have the opportunity to make large-scale, sweeping changes in how your organisation operates.

More than 75% of all ERP projects fail to deliver, leading to executives struggling with concerns like:

  • Have we derived the promised outcome from our ERP investment?
  • Have we selected the right solution and implementation partner?
  • Can our people learn and align with the needs of the ERP system?
  • Are the ERP and associated technology landscape still relevant?
  • Can we sustain these high-end technologies, considering IT is not our core business?
  • Will ERP completely change the way we work?
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How we assist our clients

  • ERP/SAP health check and assessment: Identifying specific initiatives to improve the performance of the ERP system
  • SAP optimisation services: Assisting in delivering the ERP/SAP enhancement initiatives
  • ERP evaluation and sourcing support: Assisting in deploying a fit-for-purpose ERP solution by an effective implementation partner
  • ERP/SAP implementation support:
    • ERP/SAP project management office
    • Process and controls design
    • Functional testing and validation services
    • Training and change management support
    • Master data cleansing services
  • SAP migration and upgrade assistance
  • Report standardisation, design and enablement assistance

Our value addition

  • Effective utilisation of the existing ERP solution to meet current and future business requirements
  • Process optimisation, enhancements, simplification and reduction in duplicate activities
  • Rationalisation of master data and improvement in ERP master data governance
  • Improved reporting and information management
  • Identification of appropriate controls to be mapped in the ERP and mitigation of any financial, operational and fraud risk
  • Identification of manual processes which could be automated for higher efficiency and reduce potential rework and errors