Remove Business Objectives Remove Dashboards Remove Metrics Remove Structured Data
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Popular consumption entities in many organizations are queries, reports, and data science workloads. However, you aren’t limited to only these services.

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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

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

AWS Big Data

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. The following diagram shows a sample C360 dashboard built on Amazon QuickSight. faster time to market, and 19.1%

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.