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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. But I have a big problem with Big Data.

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

Jon Arnold

What began as an exploration of contact center reporting, soon became a bigger exercise in the ever-expanding world of Big Data, and that has inevitably taken me into the adjacent galaxy of BI – business intelligence. The cloud has changed everything, and that brings us to Big Data. The mind boggles.

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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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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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Success Story: Using Data Analytics to Improve First Contact Resolution in Healthcare Contact Centers

The Northridge Group

In our previous post , we discussed the importance of adopting a data-driven analytical approach to move the needle on patient/member experience, enabling higher CMS Stars Ratings and increased bonus payments for Medicare Advantage plan providers. A Success Story.

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Guest Post: 5 Unexpected Uses for Customer Data

ShepHyken

Learn how to best prepare your contact center for the holiday season. Customer data analytics is possible due to the rise of IoT, Big Data, and, of course, AI. How to do this? It’s well-known that businesses use Big Data to target customers. Customer data makes our world client-oriented.

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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. In his spare time, he rides motorcycle and walks with his sheep-a-doodle!