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The Power of Data Analytics in Contact Centers: Driving Insights and Improving Performance

CCNG

With the advent of data analytics, these centers are not just handling customer inquiries; they are also becoming a goldmine of information that can revolutionize decision-making processes and enhance overall performance. The Impact of Data Analytics in Contact Centers: 1. Considerations When Implementing Data Analytics: 1.

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Analytics-Infused Training: How to Nurture Agent Growth and Customer Happiness

Contact Center Pipeline

Contact centers are complex and unique businesses. Some are five agents strong while others employ thousands. And while each contact center has its own business strategy and objectives, one common goal spans the industry: keeping customers happy. In a service-based economy, positive customer interaction is more important than ever.

Analytics 279
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Use DialogFlow Analytics And Training To Improve Your Chatbot Performance

kommunicate

The post Use DialogFlow Analytics And Training To Improve Your Chatbot Performance appeared first on Kommunicate Blog. If you have built a chatbot, or are considering building a chatbot, the name DialogFlow would have appeared right at the top of your Google Search bar. And with good reason. [.].

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What is sales conversation analytics?

Callminer

This blog explores how sales conversation analytics can help you shorten sales cycles, train top-performing sales reps, and increase win rates.

Analytics 182
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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Call Center Optimization: Big Data Analytics

Global Response

Call centers are increasingly turning to big data analytics as a pivotal tool for optimization. Today, we’ll explore the cutting-edge techniques and strategies at the intersection of big data analytics and call center operations. Understanding big data analytics in call centers First off, what is big data analytics?

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AI Analytics: Overcoming the Limitations of Traditional Engagement

CCNG

Without strategic analytics, multiple data sources can create their own set of challenges on top of the ones they are meant to solve. It is important to train AI to understand what it can in a channel before considering how to action the AI’s output. With proper interpretation, it can detect mood, fatigue, and the result of challenges.

Analytics 195
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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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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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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.