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Composable ERP




  • Modular Design: Independent, interchangeable modules for specific functions.
  • Simplify: Modules for every business need.
  • Scalability: Easily add or remove modules as business requirements change.
  • Incremental Deployment: Allows gradual implementation without overhauling existing systems.
  • Data Consistency: Maintains a single source of truth across modular components.
  • Fits elegantly into DataPARC vision
  • Flexibility: Customizable to adapt to unique business needs and processes. Low / no code is key.
  • Important to SMBSC given AgTrax and SugarTrax history.
  • Change management likely becomes more manageable
  • Collaboration is part & parcel of composable ERP. Collaboration platforms (Microsoft Teams, Slack, etc.) may be a thing of the past
  • Interoperability: Connects with other platforms and technologies for a unified ecosystem.
  • API-Driven: Open APIs for seamless integration with external systems and tools.
  • Important given the relationship with NSM.
  • Cloud-Native: Built for cloud environments, enabling accessibility and real-time updates.
  • Diverse and active 3rd party development a.k.a., an “App Store” or “Open Source” model.

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Traditional ERP



  • ​Monolithic and tightly coupled
    • functions as a single, unified system where all modules are interconnected
    • making changes to one part affect the whole.
  • Rigid structure with limited personalization options
    • Microsoft products tend to allow individual personalization, but organization-wide personalization typically involves customization
    • requires extensive configuration, custom coding, or process adaptations to fit unique needs
    • often leading to inefficiency.
  • Challenging and resource-intensive
    • often necessitating major upgrades or complete overhauls to handle growth, which can constrain expansion. For example, SAP mandates everyone move to S4/Hana.
  • Lengthy and disruptive implementation
    • typically taking months or years
    • upgrades affecting the entire system and requiring significant regression testing.
  • High upfront investment (licensing, hardware, and implementation)
    • ongoing high maintenance costs due to complexity and specialized support needs.
  • Often results in vendor lock-in
    • tied to vendor’s roadmap and release cycles
    • Less adaptable to market changes, regulatory shifts, or emerging technologies
  • Integrated within the suite but heavy and complex for external additions, often leading to silos or integration challenges.

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