For industrial businesses—especially in manufacturing, construction, rental, and service—having tight control over systems and data can make all the difference. Whether it’s managing shop floor processes, asset lifecycles, sensitive customer data, or complex job costing, on-premise ERP continues to be a strategic option for businesses that prioritize control, security, and customization.
Some companies need more than convenience—they need certainty, autonomy, and full control over their infrastructure. That’s where on-prem ERP excels.
Why Control Still Matters
In industries where operational reliability and compliance are key, running your ERP system on your own infrastructure gives you complete control over updates, security protocols, and access. For example:
Manufacturers with ISO certifications or proprietary production methods often prefer to manage their own data environments.
Construction firms working on high-value or confidential projects may want to keep project data close to home.
Rental companies managing large fleets and integrated service workflows may rely on custom ERP setups that benefit from internal oversight.
Service-based businesses with in-house IT teams might prefer to tailor their ERP deeply to unique workflows or customer handling models.
Customization and Ownership
On-prem ERP allows businesses to build exactly what they need—without cloud limitations or vendor restrictions. If your operations require deep customization, integrations with legacy systems, or specialized workflows, on-premise ERP gives you the flexibility to adapt without compromise.
Leveraging Existing Infrastructure
For companies with established IT teams and infrastructure, on-prem ERP is a way to maximize internal resources and retain full control over system performance, updates, and user access.
Infor ERP Supports All Deployment Models
One of Infor’s strengths is its flexibility. Whether you need a fully cloud-based ERP, a hybrid hosted setup, or an on-prem deployment, Infor ERP delivers the same industry-specific functionality across all models. That means no matter how you choose to deploy, you don’t sacrifice capability or depth.