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

ShepHyken

The mobile app experience seamlessly integrates with pioneering technologies like artificial intelligence, augmented and virtual reality and big data analytics to offer engaging experiences. By serving personalized product suggestions, you can increase the relevance of your brand with visitors. .

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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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Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

The consumer experience is becoming easier, faster and more personable. And while few ‘zero out’ to an agent right away these days, when they do request a live person, they expect an efficient experience. With analytics, contact centers can leverage their data to see trends, understand preferences and even predict future requirements.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

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How to Connect Data and Artificial Intelligence for Personalized Touch Points

Etech GS

The ability and evolution of computer learning have led to improved efficiency, personalization and excellent analysis of big data, thereby transforming the e-commerce landscape and created a standard of expectation from customers. Integrate Integral Data. Identify Problems and Seek Solutions. Know Your Capabilities.