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Revolutionizing CX Management with Customer Experience Analytics

Lumoa

As the volume of data companies collect grows and as artificial intelligence (AI) gets better, analytics is set to become a key differentiator for customer experience management. Typically, this data lives in multiple systems and is only looked at by the teams that collect it ( and unfortunately, sometimes not even them!).

Analytics 208
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Digital Ethnography: Turning Research Inside-Out

QuestionPro Audience

Well, there are many reasons for the industry to be interested in this, one of which being its ability to collect large amounts of data from a diverse range of respondents. This means that researchers have access to accurate behavioral data, which helps them build more precise inferences about the direction and extent of their study.

Study 195
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NPS Best Practices: Be a Leader not a Laggard

InMoment XI

In this blog, we have listed NPS best practices that will help you shape the course of your organisation into becoming a leader in customer satisfaction. While reports and data can offer valuable insights, the most authentic and relevant information comes directly from your customers.

NPS 260
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Guest Blog: Is Your Contact Center Using the Right Customer Feedback Tool?

ShepHyken

And finally, once the data is gathered, who’s going to have access to it, and what will they be encouraged to do with it? Observation. The post Guest Blog: Is Your Contact Center Using the Right Customer Feedback Tool? For example, is the goal to improve your customers’ experience, and if so, which facet?

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Guest Blog: Technology Trends That Will Govern the CX Landscape

ShepHyken

Managing big data, providing efficient customer service, streamlining the process and enhancing user experience are some of the benefits that artificial intelligence has provided humans with. Internet of Things : Are you able to imagine what you have never observed? Or are you able to observe what you recently imagined?

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Optimize equipment performance with historical data, Ray, and Amazon SageMaker

AWS Machine Learning

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. A policy is trained to find the action, at a given observation, that is likely to produce the highest future rewards.

Data 96
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Statistical Significance: Definition, Calculation, Importance

SurveySparrow

Statisticians agree that in data analysis, statistical significance holds a prime position. I have included the statistical jargon used in this blog. Above all, researchers test it to find natural patterns and differences in the data. Researchers use it to quickly analyze their data, making the process efficient and accurate.