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29 examples of AI use in data analytics

Callminer

This blog explores the use of AI in data analytics to process, analyze, and derive insights. ChatGPT and generative AI have captured the attention of individuals and organizations alike.

Analytics 182
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25 benefits and best practices to get started with real-time analytics

Callminer

Companies today manage ever-increasing volumes of data. Read this blog for expert tips and best practices for getting started with real-time analytics tools.

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Guest Blog: How Live Chat Can Improve Conversion Rate For Your Business

ShepHyken

You can use your trusty analytics reports to see which is most effective. Track Analytics. You simply must be using analytics and data reports to monitor your successes and failures and the evolve your course. Do you think they’re resistant to using analytics with their live chat software to track progress?

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How data analytics can enhance customer service

Eptica

Date: Monday, January 17, 2022 Author: Pauline Ashenden - Demand Generation Manager How data analytics can enhance customer service. In our latest blog we explore this trend, highlighting some key findings from the ContactBabel UK Customer Experience Decision-Makers’ Guide 2021. Published on: January 17, 2022.

Analytics 127
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Guest Blog: Six Ways Predictive Analytics Enhances Customer Relations

ShepHyken

This week we feature an article by Jarrin Howard who writes about how predictive analytics can enhance customer relations. – Shep Hyken. These are common examples of sites using predictive analytics catering to individual customer preferences. With the rise of machine learning, predictive analytics is becoming the status quo.

Analytics 168
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Top 10 gamification blogs

Callminer

Contact centers need well-defined business goals that are easily tracked with captured speech analytics data. To learn more about gamification, read our top ten blogs below.

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Unlocking Data Analytics and Insights

Nicereply

Data without context are only numbers. Discover a new way of looking at data analytics and insights. The amount of customer data collected by your company is increasing every year. But data is only valuable if you can understand and take action from it. Data analysis is no longer a task for statisticians.