Timestamp redesigned the production costing model of a global forestry company through a solution based on SAP ERP, Google Cloud Platform and Power BI.
The project improved costing accuracy, automated financial analysis and delivered reliable business information to strengthen profitability, cost control and decision-making.
The organisation needed to modernise an outdated costing model that limited visibility into production costs and business profitability.
Significant differences between planned and actual costs, the absence of costing models for specific production lines and limited cost traceability reduced operational efficiency and decision-making capabilities. The company also wanted to reduce reliance on custom developments and introduce a more flexible analytics platform.
Timestamp redesigned the costing model using SAP best practices while implementing a cloud-based analytics layer to improve financial visibility and business insight.
Redesign of bills of materials, routings, cost allocation rules and distribution models to deliver more accurate production costing.
Implementation of an analytics platform based on Google Cloud Platform, BigQuery, Dataflow and Power BI, providing near real-time cost and profitability analysis.
Optimisation of SAP processes, reduction of custom developments and implementation of a costing model designed to evolve with future business requirements.
Business Impact
SAP ERP
Optimisation of costing processes using SAP CO, SAP PP and standard SAP capabilities for industrial cost management.
Analytics Platform
Implementation of an analytical layer based on Google Cloud Platform and Power BI to improve financial visibility and profitability analysis.
Costing Transformation
Deployment of a new standard costing model to improve cost traceability, allocation accuracy and business decision-making.
A global leader in the forestry and wood products industry, operating through an extensive international industrial network. The company continues to invest in digital transformation initiatives to improve operational efficiency, strengthen financial management and turn data into a strategic business asset.
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