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Georgia Pacific

SAP Infrastructure Modernization to Enable Resilient and Data-Driven Manufacturing

🏢Client Overview

Georgia Pacific is one of North America’s leading manufacturers of tissue, pulp, packaging, and building products, with an SAP landscape supporting a wide network of production sites.

🚧Challenge

The existing SAP landscape faced aging hardware, high data center maintenance costs, and limited visibility into operational data for proactive decision-making.

  • Aging hardware and OS/DB configurations
  • High cost of maintaining multiple data centers
  • Limited visibility into operational data

🔍Our Approach

Conducted an enterprise SAP landscape audit, mapping SCM and ECC dependencies, performance degradation zones, and infrastructure costs, then developed a target-state architecture.

🔧Implementation Phases

1SCM & ECC OS/DB Modernization

  • Migrated and upgraded OS/DB layers for SAP SCM and ECC systems
  • Implemented HPUX to Oracle upgrades with enhanced system resilience
  • Fine-tuned performance post-migration for continuous operations

2Data Center Consolidation & High Availability

  • Migrated SAP workloads to Linux-based application servers
  • Reduced total system count and improved disaster recovery
  • Introduced high-availability architecture with failover protection

3SAP Solution Manager & BI Stack Optimization

  • Installed and configured SAP Solution Manager 4.0
  • Streamlined incident management, system monitoring, and configuration control
  • Integrated SAP BI 7.1 and BOBJ for scalable analytics

🧠Technologies Used

SAP ECC 6.0, SCM, BI 7.1, BOBJOracle on HPUX (upgraded infrastructure)SAP Solution Manager 4.0Custom Linux-based application serversGRC and NetWeaver 2004s

📈Business Outcomes

Reduced infrastructure costs by 25%

Improved SCM process speed by over 30%

Increased system uptime and support for high-volume transactions

Enabled digital workflows for supply chain and production insights

🌐Smart Manufacturing Alignment

Enabled real-time production data integration, data-driven maintenance, and a scalable SAP landscape ready for S/4HANA and edge computing.

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