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Follow on Google News | Solving Process related Bottlenecks with Dataplatr:Increasing Efficiency with contact center analytiBy: Dataplatr Streamlining workflows: In call centers, process related inefficiencies such as mismanaged call routing and long delays can affect the customer experience leading to dissatisfaction. Dataplatr's voice analytics call center solutions can identify patterns in calls that are taking longer and analyze the data to uncover process flaws that helps managers to optimize workflows, improve agent training, and address the issues that slow down operations. By handling these issues, businesses can reduce call times and improve overall efficiency. Optimizing Customer Interactions: Customer satisfaction is dependent on how call centers manage the customer interactions. Dataplatr's sentiment analysis call center feature analyzes vocabularies, speech patterns and word choices of the agent that allows managers to identify the areas of customer dissatisfaction, frequently arising customer issues and issues that take long resolution times. This helps managers to modify the scripts, and train agents to improve responses, for addressing the issues that occur frequently. Speech Analytics: Dataplatr utilizes its expertise in contact center speech analytics to collect and analyze the data from customer interactions for helping businesses to identify the issues related to process such as high call abandonment rates or delays in query resolution. With these insights, businesses can improve the efficiency of call forwarding algorithms or improve self-service options provided to the customers. This ensures smooth workflows and fast resolution times. With this data, call centers can improve first call resolution rate and reduce operational costs. Dataplatr's expertise in contact center analytics services, voice analytics, sentiment analysis and speech analytics, enables organizations to overcome process related inefficiencies and helps in streamlining workflows, and improving agent performance to build a stronger relationship with customers. https://dataplatr.com/ End
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