Using the Digital Team to Enhance Profitability and Control
With the right approach, your digital team can drive efficiency, strengthen control, and uncover profit opportunities by analyzing outliers.
Content Type: Article | Reading Time: 11 Minutes
From data noise to financial insight
Modern organizations generate more financial and operational data than ever before, yet information hides in plain sight. Within enterprise resource planning (ERP) systems and related platforms, millions of transactions flow each month. And while the transactions are all balanced, the process is not guaranteed to be accurate or efficient. Among this volume of data lie outliers that deviate from expected norms — transactions, entries, or process behaviors. These anomalies often point to control gaps, process inefficiencies, or emerging risks that quietly erode profitability.
To uncover these hidden insights, finance leaders are increasingly turning to the digital team of data scientists, IT specialists, and process analysts. By applying advanced analytics and machine learning (ML) tools, organizations can detect patterns that traditional controls overlook. Whether it’s identifying duplicate vendor payments, unusual pricing, or abnormal posting patterns, outlier detection transforms routine financial data into actionable intelligence.
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