Fragmented P&L reporting
More than 50 P&L versions were maintained across business lines, creating inconsistent numbers, duplicate effort and reconciliation pressure during financial close.
A global chemical organization was managing P&L reporting across more than 50 separate Excel files, with inconsistent local master data, shadow IT practices and heavy manual reconciliation during close. NoèmeX began with discovery and requirements definition, then implemented a governed data and BI environment that brought the reporting process into one standardized application.
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More than 50 P&L versions were maintained across business lines, creating inconsistent numbers, duplicate effort and reconciliation pressure during financial close.
Local master data did not consistently align with group standards, forcing extensive mapping and manual reconciliation.
Finance teams had built independent analytical models outside a common governance structure, making a single source of truth difficult to establish.
Executives needed consolidated views while operational teams required detail, but the existing reporting environment could not serve both consistently.
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Mapped the fragmented reporting landscape and translated stakeholder needs into a detailed 200-page Business Requirements Document.
Integrated Oracle R12, local referential data and other sources into a central structure, including mapping local master data to group master data.
Built a consolidated front-end reporting application with hierarchical views for executive summaries and operational drill-down.
Delivered iteratively, trained finance users and provided embedded support during critical financial-closing periods.
Oracle R12 · Local referential data · Excel-based reporting environment · Central BI application
Only outcomes supported by the documented case material are shown here. Where the source describes future AI opportunities, they are not presented as delivered results.
All documented P&L versions were consolidated into one standardized application.
Automation reduced manual work during close and eased operational pressure on finance teams.
Governance and master-data practices established clearer ownership and improved consistency.
The new structure created a basis for future analytics, forecasting and process automation.
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