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Survey Highlights Financial Risk of Spreadsheet Reliance in Operations

Survey Highlights Financial Risk of Spreadsheet Reliance in Operations

According to a recent LinkedIn post from DOSS, the company is drawing attention to operational risks and hidden costs associated with spreadsheet-driven processes in operations teams. The post cites survey data indicating that a single significant spreadsheet error may cost an average of $4,315, with more than half of operations teams reportedly encountering such issues weekly.

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The company’s LinkedIn post highlights several statistics from its survey of operations leaders, including that 22% of respondents face spreadsheet errors daily and spend an average of 3.6 hours per week fixing mistakes. The post also notes that 60% of teams feel overly dependent on spreadsheets, while only 41% report having a formal quality control process for high-stakes decisions.

The post suggests that unreported spreadsheet incidents may represent a meaningful source of margin erosion, with two in five such issues allegedly resolved without leadership visibility. It links these errors to downstream effects such as missed orders, expedited freight costs, lost revenue, and inventory gaps, and directs readers to full research results via an external link.

For investors, this emphasis on spreadsheet risk points to a market narrative around demand for more robust data and operations management tools within supply chain and operations functions. If DOSS offers products or services that address these inefficiencies, the survey findings could support its value proposition and help frame a sizable addressable market for workflow modernization and error reduction.

The focus on quantified cost impact and process gaps may also strengthen DOSS’s positioning in enterprise sales discussions, potentially aiding customer acquisition and pricing power if the research resonates with decision-makers. In the broader industry context, the findings align with ongoing digital transformation trends in operations and supply chain management, which may provide a tailwind for vendors offering automation, data governance, and analytics solutions.

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