Company

[Client name withheld]
 Industry

Energy and Utilities
 Headquarters

North America
 Geography

North America
No. of Employees

[To be confirmed]
 Annual Revenue

[To be confirmed]
 No. of Offices

[To be confirmed]
 Engagement Type

SAP EAM and Geo Enablement

CLIENT PROFILE

Critical Infrastructure, Running on Processes That Could Not Afford to Fail

The client is one of North America’s largest energy infrastructure companies, operating an extensive delivery network spanning crude oil, natural gas, natural gas liquids, and renewable energy. The scale and geographic reach of that network means that accuracy in pipeline asset management is not a performance metric. It is an environmental and operational obligation.

Managing pipeline geometry across a network of this complexity requires a level of precision that manual processes and fragmented systems cannot reliably sustain. The consequences of errors in this environment extend well beyond operational inefficiency. Inaccurate geometry data carries direct risk of leaks, spills, and regulatory exposure.

BUSINESS CHALLENGES

Three Problems Where the Margin for Error Was Zero

The challenges the client faced were not abstract. They were operational risks embedded in the day-to-day management of critical infrastructure.

  • Pipeline Geometry Accuracy: Ensuring accurate geometry for both gas and liquid pipelines required a degree of precision that existing processes struggled to consistently deliver. Any error in geometry data carried the potential for significant operational, environmental, and compliance consequences.
  • Human Error in Transactional Geometry Management: Managing transactional geometries across work orders, notifications, and maintenance plans was a largely manual process. The volume and complexity of that data made error reduction through process discipline alone difficult to achieve at the required level of reliability.
  • Maintenance Worker Productivity: Maintenance teams were operating without real-time access to the asset and geometry data they needed to carry out their work efficiently. Manual data entry overhead and limited system integration were reducing productivity and increasing the time required to execute and close maintenance activities.

These challenges shared a common root: the absence of a unified, spatially aware platform that could connect pipeline geometry data with the ERP processes driving day-to-day operations. Without that connection, precision, productivity, and visibility were all constrained.

Technologies & Methodologies Deployed:

  • SAP ECC / S/4HANA
  • SAP Geo Enablement Framework
  • ESRI ArcGIS
  • SAP HANA Spatial DB
  • SAP Analytics
  • SAP ABAP / 4HANA
  • oData / RESTful Services

TRUGLOBAL SOLUTION

Connecting the Map to the Machine

TRUGlobal designed and deployed an SAP S/4HANA Geo Enablement Framework, integrating pipeline geometry management directly into the client’s ERP environment. The solution was built around a Design Thinking methodology, keeping the practical needs of maintenance workers and operations teams central to every architectural and user experience decision.

The integration of ESRI ArcGIS provided native GIS connectivity, enabling the client to visualise, manage, and analyse pipeline assets within the same environment used for work orders, maintenance plans, and notifications. Geometry and operational data, previously managed in separate systems, became a single, consistent source of truth.

Core Technologies: SAP ECC / S/4HANA | SAP Geo Enablement Framework | ESRI ArcGIS | SAP HANA Spatial DB | SAP Analytics | SAP ABAP / 4HANA | oData / RESTful Services

GEO ENABLEMENT FRAMEWORK SAP S/4HANA Geo Enablement Framework deployed to manage pipeline geometry for both gas and liquid networks, with native ESRI ArcGIS integration providing a unified spatial and operational view of all pipeline assets. GIS AND ERP INTEGRATION Seamless, bidirectional data integration between ESRI ArcGIS and SAP ECC / S/4HANA backend, eliminating the manual reconciliation between GIS and ERP that had been a primary source of data entry errors and geometry inaccuracies.
SELF-SERVICE GEOMETRY Intuitive self-service transactional geometry management for work orders, notifications, and maintenance plans, enabling maintenance workers to access and update geometry data directly within their operational workflows without specialist GIS knowledge. SPATIAL DATABASE SAP HANA Spatial Database providing the high-performance geometry storage and query capability needed to support accurate, real-time spatial operations at the scale of a major pipeline network.
SCALABLE ARCHITECTURE A scalable and flexible architecture for both the geometry explorer and editor, designed to accommodate the evolving asset management needs of a large, growing energy infrastructure operation without requiring fundamental redesign. ANALYTICS AND INSIGHT SAP Analytics integration providing maintenance workers and operations leadership with real-time, actionable insight into asset condition, maintenance activity, and geometry data, directly reducing the information delays that had impacted productivity.

The architecture was built to be operationally practical for the people using it every day. Maintenance workers gained self-service access to the geometry data relevant to their work orders. Operations leadership gained the spatial visibility needed to manage a pipeline network with confidence.

BUSINESS OUTCOMES

Accuracy, Productivity, and Visibility Across the Network

The results were measurable across data quality, workforce productivity, and customer experience.

Outcome Area Business Value Delivered Measured Result
Data Entry Accuracy Seamless GIS and ERP integration, combined with self-service transactional geometry, eliminated the manual re-entry that had been the primary source of geometry errors across work orders and maintenance records. 40% Reduction in Data Entry Errors
Business Productivity Maintenance workers equipped with real-time, contextually relevant geometry and asset data reduced the time spent locating, verifying, and manually recording information during maintenance activities. 20% Improvement in Business Productivity
Customer Satisfaction Improved operational reliability, faster maintenance cycle times, and more accurate asset data translated into more consistent service delivery and measurably better customer experience. 20% Improvement in Customer Satisfaction
GIS and ERP Data Integrity Bidirectional integration between ESRI ArcGIS and SAP ensured that geometry and operational data remained consistent across both systems, eliminating the reconciliation overhead and data quality issues that fragmented systems had created. Single source of truth across GIS and ERP
Operational Risk Reduction Improved geometry accuracy and reduced human error in pipeline data management directly lowered the operational and environmental risk associated with inaccurate asset records across the gas and liquid pipeline network. Reduced risk from pipeline geometry inaccuracies
Strategic Objectives The engagement delivered against both the top-line and bottom-line objectives of the organisation, with productivity gains and error reduction contributing to improved financial and operational performance. Top-line and bottom-line objectives met

COST EFFICIENCY

The Price of Getting Pipeline Data Wrong

In energy infrastructure, data accuracy carries a financial dimension that most industries do not face. A geometry error in a pipeline network is not a record-keeping issue. It is a potential environmental incident, a regulatory exposure, and an operational liability. The cost of remediation, compliance response, and reputational management in those scenarios is significant and largely avoidable with the right underlying systems.

The 40% reduction in data entry errors achieved through this engagement directly reduced that risk profile. Fewer geometry errors means fewer conditions that could escalate into environmental or compliance events. It also means less time spent by maintenance teams identifying, investigating, and correcting data discrepancies, which was a meaningful component of the 20% productivity improvement.

For large energy infrastructure operators, the cost of manual GIS and ERP reconciliation across a network of this scale is substantial. Eliminating that overhead through native integration, and replacing error-prone manual processes with self-service geometry workflows, delivers both direct cost reduction and a more reliable operational foundation. Industry data indicates that enterprise asset management modernisation programmes in comparable infrastructure environments typically deliver 15 to 25% reductions in maintenance operational costs over a three to five year period.

In critical infrastructure, precision is not a preference. It is an operational requirement.
TRUGlobal built the system that made it achievable at scale.

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