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The Future of Call Centers: Trends and Predictions for 2025 and Beyond

TeleDirect

These centers now utilize AI-driven tools to manage routine inquiries through chatbots powered by natural language processing (NLP). Predictive Analytics takes this a step further by analyzing big data to anticipate customer needs, streamline workflows, and deliver personalized responses.

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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.

Big data 102
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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 Data Boom: How to Capture and Leverage Insights

The Northridge Group

To make it worse, the pace of this information continues to increase; data (lots of it) is being produced more rapidly than ever before. How can you capture this data and use it to help you and your organization make informed decisions, and ideally to predict future behavior and events?

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.