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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. These insights can develop strategies for when the events occur again.

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Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

AWS Big Data

Event-driven model Event-driven applications are increasingly popular among customers. Analytical reporting web applications can be implemented through an event-driven model. The applications run in response to events such as user actions and unpredictable query events.

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What customer centric corporate culture really means and why it is so important

Cloudera

A company’s culture is its basic personality and the essence of how employees interact and work. A company who lives and embraces a true customer centric culture conducts business with customers in such a way that provides them a positive experience throughout each and every interaction they have with your brand.

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Take Customer Experience Back to the Future with Data

Cloudera

Not too long ago, when a customer entered their local bank branch, the manager and tellers would greet them by name, ask how their family was doing, how things were going for them at their workplace (calling out the company by name), and discuss other major life events (weddings, home purchase, retirement).

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An In-Depth View of Data Science

Domino Data Lab

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. They have enabled new cross-industry applications, such as in customer analytics and fraud detection. What are Data Scientists?

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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. These may not be high risk. They might actually be high-reward discoveries.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.