Brown Field

With a SAP S/4HANA brownfield conversion, the ERP system may be converted during a technological update, allowing proven bespoke processes and structures to be maintained in an innovative environment. This enables a progressive shift to SAP S/4HANA while simultaneously reducing deployment time.

The system can be migrated to the Private Cloud simultaneously with the update. Furthermore, unique improvement opportunities can be recognized and selectively applied at the company’s own speed. And, as already said above, the flexibility to roll out the digital transformation step by step allows firms to lower their project complexity, time, and resource needs compared to a maiden greenfield installation

Brown Field is an approach to SAP implementation that involves upgrading or migrating an existing SAP system to the latest version while preserving existing configurations, data, and customizations. At Samishti Infotech, we specialize in delivering seamless and efficient Brown Field implementations that minimize risks and disruptions while maximizing value for our clients.

At Samishti Infotech, we offer a comprehensive range of services for Brown Field implementations, including:

• System assessment and readiness analysis
• Upgrade planning and strategy development
• System migration and data conversion
• Customization and configuration migration
• Testing and validation
• Post-implementation support and optimization

Our team of experienced SAP consultants and developers work closely with clients to ensure a smooth and successful Brown Field implementation process from start to finish.

To maximize the success of your Brown Field implementation, we follow these best practices to help you achieve your desired outcomes with confidence.

• Conduct a comprehensive assessment of your existing SAP landscape to identify potential challenges and opportunities.
• Develop a detailed upgrade plan that outlines timelines, resource requirements, and milestones.
• Engage key stakeholders and end-users throughout the implementation process to ensure alignment and buy-in.
• Prioritize data quality and integrity during the migration process to minimize the risk of data loss or corruption.
• Invest in training and change management initiatives to facilitate user adoption and minimize resistance to change.