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Top Customer Analytics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. It […]. It […].

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What is Customer Analytics and Why is it important?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Businesses and Companies have a lot of customers these days. The number of customers widely vary. The post What is Customer Analytics and Why is it important? Companies like Google and […].

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CCaaS is a Vital Tool for Managing Customer Analytics

Smart Data Collective

One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers. Companies are expected to spend over $24 billion on customers analytics technology by 2025. The benefits of analytics to understand the customer journey cannot be overstated.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. What Is Customer Service Analytics?

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Read more about these solutions and more in the following articles: FlashBlade: Storage for Modern, Data-centric Organizations – designed to enable parallelism. What is a non-disruptive upgrade (NDU)?

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Customer Segmentation for R Users

KDnuggets

This article shows you how to separate your customers into distinct groups based on their purchase behavior. For the R enthusiasts out there, I demonstrated what you can do with r/stats, ggradar, ggplot2, animation, and factoextra.

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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? For example, offensive strategies are often employed at organizations that operating in largely unregulated industry where customer analytics can differentiate.

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