Lab - Exploring the Generative Business Intelligence Features in Amazon QuickSight

Overview

Dive into Amazon QuickSight's Generative BI features to analyze loan portfolio data, create insightful dashboards, and generate data-driven stories for effective decision-making in banking.

Syllabus

- Introduction to Amazon QuickSight -- Overview of Amazon QuickSight and its role in Business Intelligence -- Key features and capabilities - Setup and Initial Configuration -- Connecting to AnyCompany Banking & Financial data sources -- Creating and managing QuickSight datasets - Data Preparation and Transformation -- Data cleaning and transformation techniques -- Creating calculated fields and derived metrics - Exploring Generative BI Capabilities -- Overview of Generative BI -- Using QuickSight Q for natural language querying -- Real-world examples of Generative BI in action - Building Comprehensive Dashboards -- Dashboard design principles -- Adding visuals, charts, and widgets in QuickSight -- Implementing interactivity with filters and controls - Analyzing the Loan Portfolio Data -- Key metrics and KPIs for loan portfolio analysis -- Trend analysis and performance indicators - Insights and Storytelling with QuickSight -- Crafting a narrative with data -- Sharing and presenting insights using Presentation Mode - Collaboration and Sharing -- Sharing dashboards and insights with stakeholders -- Setting up access permissions and data security - Best Practices and Advanced Tips -- Optimizing performance and scalability -- Tips for effective data storytelling - Conclusion and Next Steps -- Review of key concepts -- Further resources and learning opportunities

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