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Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner. Choose Create collaboration.

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How to Execute a Churn Analysis for Account Managers

Kapta Customer Success

This starts with tracking your churn rate versus customer retention and running churn analysis to discover what's causing customers to go to the competition — and change it. More importantly, you should always be focused on your customers and how you can improve their experience with your brand and products or services.

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It’s all about context stupid! Why most businesses fail to take this into account

Beyond Philosophy

They were asking for the account number right off the bat. The senior managers thought customers would be ready to present their account numbers upon getting through the call center queue. The quicker the call center employee had the account number, the faster they could resolve the issue and have their employee process another call.

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What is Voice of the Customer? [+ how to get data analysis]?

Lumoa

A customer mentions during a service call that they’ve had trouble finding the new permissions settings in their account dashboard. While canceling their account, a customer indicates that “customer service” was the main reason they are leaving. With the help of voice and text analytics, the data analysis process is made even easier.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Import data from cross-account Amazon Redshift in Amazon SageMaker Data Wrangler for exploratory data analysis and data preparation

AWS Machine Learning

Organizations with a multi-account architecture want to avoid situations where they must extract data from one account and load it into another for data preparation activities. In this post, we walk through setting up a cross-account integration using an Amazon Redshift datashare and preparing data using Data Wrangler.

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Visualize an Amazon Comprehend analysis with a word cloud in Amazon QuickSight

AWS Machine Learning

A traditional approach might be to use word counting or other basic analysis to parse documents, but with the power of Amazon AI and machine learning (ML) tools, we can gather deeper understanding of the content. To begin, we gather the data to be analyzed and load it into an Amazon Simple Storage Service (Amazon S3) bucket in an AWS account.