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Create a comprehensive view of AWS support cases with Amazon QuickSight

AWS Big Data

Enable QuickSight in your data collection account. For instructions, refer to Setting up for Amazon QuickSight. Follow the steps in Centralized view of support cases opened from multiple AWS accounts using AWS Systems Manager to establish Systems Manager Explorer and create a resource data sync for data aggregation.

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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. .

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

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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What Is Embedded Analytics?

Jet Global

that gathers data from many sources. Use the experts in analytics to add value to your product. Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. References Ask to speak to existing customers in similar verticals.