Robotic Process Automation (RPA) analytics can provide quantitative metrics that validate RPA operational viability, prove out the return on investment (ROI) for robots, and objectively measure RPA’s impact on the bottom line.
This whitepaper seeks to bridge the gap between what it means to use RPA analytics to help RPA Center of Excellence (CoE) leaders drive operational efficiencies, and providing business metrics that help process managers and business leaders make better decisions informing their ongoing RPA investment and strategy.
Behind every business metric is an operational metric. Analytics tied to the operational viability of an RPA deployment—measuring factors like robot productivity, process throughput, average handling time, and SLAs—can be used to define key metrics for success and align insights from the execution of an RPA deployment directly to the impact on business outcomes.
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