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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. By harnessing the power of vast data sets, businesses can uncover deep insight into customer behavior, preferences, and trends, enabling them to tailor their services for maximum impact. Let’s take a look.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning

Comprehensive patient insights The LLMs ability to process and contextualize unstructured audio data provides a more holistic understanding of the patients condition, enabling better-informed decision-making. They provide feedback, make necessary modifications, and enforce compliance with relevant guidelines and best practices.

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Guest Blog: 5 Ways To Leverage Technology For A Better Customer Experience

ShepHyken

Before Mark Zuckerberg revolutionized online communication with Facebook, the pace of feedback traveling via word-of-mouth was slow. Social media has empowered users to share instant feedback with their followers – and have those comments validated instantly. More brand recognition, more leads, and more customers. .

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The Power of Voice Analytics

Spearline

With many millions of customer conversations happening each and every day, voice traffic is very much “big data”. This data offers insights to those who choose to look deeply. Voice analytics promises to measure customer emotion in each call. Voice analytics can also alert management to what is absent in a conversation.

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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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Prescriptive analytics: The way forward for Big Data

Hero Digital

This, in a nutshell, is prescriptive analytics. For a long time, the field of data and analytics was focused on describing what happened — how many customers bought the product, what they looked like, how many came back, etc. With the advent of advanced ML algorithms, analytics has now entered the prescriptive phase.

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5 Top Customer Service Articles for the Week of August 28, 2017

ShepHyken

Ideas like understanding industry benchmarks and using feedback are for everyone. Business Over Broadway) The tools and methods of artificial intelligence, machine learning and predictive analytics will play a major role in helping businesses better understand and manage the customer experience. While nearly every major U.S.