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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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Be Warned: You Can’t Rely On Big Data!

Beyond Philosophy

I’ve been reading about Big Data’s foray into “Journey Analytics.” Journey analytics seeks to improve customer experience by collecting data at each point on a customer’s journey and mapping customers’ paths – whether they lead to a purchase or not. And linking data points throughout a journey is a step in the right direction.

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Data Science vs. Big Data vs. Data Analytics - what’s the difference?

TELUS International

Understanding the nuances of each area of data specialization is key in order to best utilize and leverage them to their full potential. Discover the differences between data science, big data and data analytics and the functions they perform.

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How Marketers Can Leverage Big Data for CX Insights: 35 Marketing Experts & Customer Experience Pros Share Their Top Tips for Leveraging Big Data to Improve CX

Callminer

How Marketers Can Leverage Big Data for Customer Experience Insights: 35 Marketing Experts and Customer Experience Pros Share Their Top Tips for Leveraging Big Data to Improve CX

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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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Big Changes Need Big Data 

Playvox

This period of high-stakes decisions and operational scrutiny required a clear and accurate view into many things, including SoFi’s Member Service Teams quality assurance data. The SoFi team required visibility into this QA data at every level of the business, from C-suite, to manager, to analyst, to agent. Data Needs Context.

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Big Data Analytics Creates Smart Contact Centers

Ansafone

As the primary connection for customers’ concerns, call centers have massive amounts of data pouring in hourly. Collecting the information is the easy … Big Data Analytics Creates Smart Contact Centers Read More ». Collecting the information is the easy … Big Data Analytics Creates Smart Contact Centers Read More ».