Category: Amazon QuickSight

Learn more about the Next-Gen Digital Analytics, a solution built on Amazon Web Services, using Snowplow and Snowflake. This joint solution empowers organizations to unlock the untapped value of customer behavioral data. It improves data quality, governance, and real-time activation within their AWS environment. By implementing this solution, customers can supercharge the use of Artificial Intelligence (AI) and generative AI adoption to help address key business objectives, such as user acquisition, retention, and customer lifetime value.

Relay42 is a Customer Data Platform (CDP) built to enable marketers to personalize their marketing activities across all touchpoints of the customer journey in real time. In this blog post, you will learn how Relay42 Insights and Reporting module provide marketers with deeper insight into their consumers, their behaviors, and interests using Relay42’s CDP and Amazon QuickSight.

Business intelligence (BI) teams aim to automate Amazon QuickSight asset deployment across environments. CyberCX developed a solution using AWS Step Functions to orchestrate exporting QuickSight analyses from one environment and importing them to another, simplifying migration. This reusable module integrates with CyberCX’s broader serverless data platform but can standalone. The entire solution is designed with security in mind and follows the principles of least privilege access.

Amazon Q and generative BI are transforming business operations, and AWS Partners like ZS Associates, Tiger Analytics, and Compass UOL are pioneering use cases leveraging these technologies to build industry-tailored solutions that improve decision making, operations, fraud detection, software development lifecycles, and more. AWS provides resources to help partners develop and deploy such transformative generative AI offerings.

The world of video entertainment is more competitive than ever. The video entertainment landscape is crowded, so content providers must deeply understand viewer behavior to stand out. Synamedia Clarissa, built on AWS, delivers data-driven insights to help businesses boost viewer satisfaction. Clarissa analyzes video consumption and user experiences, providing content and app insights like which videos resonate best and how users discover content.

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

A content delivery network (CDN) caches content closer to users and reduces load times. Monitoring CDN performance is crucial for optimizing user experience, and this post demonstrates building an Amazon QuickSight dashboard with generative AI capabilities to gain insights from Fastly CDN logs in Amazon S3. It covers configuring real-time log streaming, using AWS Glue to catalog data, accelerating dashboard creation using natural language, and creating rich data stories for stakeholders.

Many AWS customers using SQL Server for analytics seek to migrate to Amazon QuickSight, a cloud-native business intelligence that provides interactive dashboards and charts unmatched by SQL Server Reporting Services (SSRS). IPsense developed a tool to accelerate migrating SSRS reports to QuickSight which automates converting SSRS queries and stored procedures into AWS Glue jobs that populate a cloud data lake.

Online analytical processing (OLAP) is a method of organizing datasets in a multi-dimensional format for quick analysis and provides deeper insights for decision-makers. Multi-dimension analysis is widely adopted by analysts, knowledge users, and power users for their decision support process. Learn how utilizing AWS analytic services and migration tools together with HCLTech frameworks to orchestrate OLAP solutions.

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.