Many finance organizations still rely on fragmented workflows to move data between reporting systems, spreadsheets, and core financial platforms. Over time, these manual processes introduce operational risk—complex spreadsheets, inconsistent calculations, and time-consuming troubleshooting during close cycles.
In this engagement, we helped a client automate a multi-step allocation process that previously relied on manual movement of data between SAP BusinessObjects, Excel, Oracle Essbase, and the SAP General Ledger.
The Legacy Process
The client's allocation workflow depended heavily on spreadsheet-driven processes and manual intervention.
The process typically followed this sequence:
- Financial data exported from SAP BusinessObjects
- Data manipulated and prepared in Excel
- Allocation calculations performed using complex Excel formulas
- Results loaded into Oracle Essbase
- Final intercompany postings prepared manually and uploaded to SAP GL
This workflow created several challenges. Spreadsheet logic became difficult to maintain, troubleshooting allocation errors consumed valuable time, and onboarding new users into the process required extensive training. During close cycles, these dependencies introduced delays and increased the risk of calculation or posting errors.
Solution Implemented
To address these issues, we replaced the spreadsheet-driven allocation process with an automated workflow built directly within the EPM platform.
The solution introduced driver-based waterfall allocations executed through Essbase calculation scripts, using operational drivers such as headcount and revenue. By embedding allocation logic within the system itself, the process no longer relied on external Excel models.
Additional automation was introduced through:
- Smart process controls governing when allocations run
- Approval workflows attached to allocation reporting
- Automated intercompany elimination postings generated for downstream integration with SAP GL
This structure centralized the logic for allocations, reduced manual handling of data, and introduced governance around the approval and posting process.
Results
The automated process replaced several manual steps across reporting, allocation, and posting workflows.
Key outcomes included:
Faster Financial Close Cycles
Eliminating spreadsheet-driven calculations reduced time spent preparing and validating allocations.
Reduced Operational Risk
Allocation logic now runs within the EPM platform rather than across multiple Excel models.
Improved Process Governance
Approval workflows introduced visibility and control over allocation results.
Simplified User Onboarding
Removing complex spreadsheets made the process easier for finance teams to operate and maintain.
By automating allocation processes within the EPM environment, organizations can reduce manual dependencies, improve reliability, and allow finance teams to focus more on analysis rather than managing spreadsheet workflows.
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