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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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Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data

Jon Arnold

Next Tuesday, I’ll be speaking on a webinar about the “data deluge” that contact centers need to manage, especially for improving the all-important CX – customer experience. Clearly CX involves many moving parts, and it’s not hard to see why contact centers are getting overwhelmed with this data deluge. The mind boggles.

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Big Data Analytics Creates Smart Contact Centers

Ansafone

While companies are tapping this information to personalize messaging and spot trends, contact center management can also leverage Big Data to streamline service processes, boost agent productivity and deliver exceptional customer experiences.

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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

There is information everywhere: in your ACD , WFM, CRM, quality management, recording, surveys, speech analytics and self-service systems. As new customer engagement channels become popular and better speech and text analytics tools come into use, we are faced with an inexorable rising tide of available information.

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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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How Big Data Analytics Is Gold for Call Centers?

Etech GS

Data gleaned from internal processes such as hold times, how long it takes to resolve an issue, and the number of calls managed per shift provides valuable information for departmental and company management. Text analytics programs can evaluate all those forms of communication, looking for themes and potential issues.