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2020 Call Center Metrics: 6 Key Metrics for Your Call Center Dashboard

Callminer

At the heart of most technological optimizations implemented within a successful call center are fine-tuned metrics. Keeping tabs on the right metrics can make consistent improvement notably simpler over the long term. However, not all metrics make sense for a growing call center to monitor. Peak Hour Traffic.

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Boost post-call analytics with Amazon Q in QuickSight

AWS Machine Learning

Post Call Analytics (PCA) is a solution that does most of the heavy lifting associated with providing an end-to-end solution that can process call recordings from your existing contact center. These capabilities can significantly enhance your post-call analytics workflow, making it easier to derive insights from your contact center data.

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Using Training Analytics to Improve Agent Retention

Vistio

As the workplace becomes more data-driven, advanced analytics is emerging as a key tool in understanding and improving agent retention. In this blog post, we’ll explore how companies can leverage analytics to not only reduce agent attrition but also foster a more engaged, successful workforce. This is where data comes in.

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How Analytics and Smart Routing Help to Maximize Inbound Call Efficiency

NobelBiz

Fortunately, contact centers can make full use of analytics and smart routing capabilities to maximize inbound call capabilities. Leverage Analytics to Track, Adapt, and Succeed The analytics coming from call centers present the necessary data that enables firms to interpret their performance and customer behavior.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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The 5 Best Marketing Analytics Courses

JivoChat

But to enjoy those data, you need to know how to analyze them, and that’s why marketing analytics courses can help you. Best Marketing Analytics Courses 1. Marketing Analytics With the Marketing Analytics course, you will learn the most important marketing metrics and how to apply them to your data.