Description

Introduction

In today’s fast-paced business environment, real-time data insights are critical for making informed decisions. This course, “Shiny for Business Intelligence: Real-Time Data Apps,” teaches you how to build interactive, real-time applications using R and Shiny that empower business users to explore live data, track KPIs, and generate actionable intelligence. You’ll learn how to connect to dynamic data sources, create responsive dashboards, and implement best practices for performance and usability tailored to business intelligence needs.

Prerequisites

• Intermediate R programming skills

• Familiarity with data manipulation (dplyr) and visualization (ggplot2) in R

• Basic understanding of Shiny recommended but not mandatory

• Some knowledge of business intelligence concepts is helpful

Table of Contents

1. Introduction to Shiny for Business Intelligence
1.1 What is Business Intelligence?
1.2 Why Use Shiny for BI Applications?
1.3 Setting Up the Shiny Environment
2. Fundamentals of Shiny App Development
2.1 Shiny App Structure: UI and Server Logic
2.2 Reactive Programming Essentials
2.3 Creating User Inputs and Outputs
2.4 Debugging and Testing BI Apps
3. Connecting to Real-Time Data Sources
3.1 Importing Data from Databases and APIs
3.2 Streaming Data with Reactive Polling
3.3 Handling Data Refresh and Caching
3.4 Integrating with Cloud Data Platforms
4. Building Interactive BI Dashboards
4.1 Designing User-Friendly Dashboards
4.2 Visualizing KPIs with ggplot2 and plotly
4.3 Creating Drill-Down and Filterable Reports
4.4 Using Data Tables for Exploration and Export
5. Advanced Interactivity and Customization
5.1 Dynamic UI Elements Based on User Roles
5.2 Adding Alerts and Notifications
5.3 Custom CSS and JavaScript for Branding
5.4 Modularizing Apps for Reusability
6. Performance Optimization for Real-Time Apps
6.1 Efficient Data Handling and Processing
6.2 Profiling and Improving App Speed
6.3 Load Testing and Scalability Strategies
6.4 Best Practices for Stability and Reliability
7. Security and Access Control
7.1 Authentication Methods and User Management
7.2 Protecting Sensitive Business Data
7.3 Compliance and Governance Considerations
7.4 Auditing and Logging User Activity
8. Deployment and Maintenance
8.1 Deploying on shinyapps.io and Shiny Server
8.2 Scheduling Data Refresh and Backups
8.3 Monitoring and Troubleshooting Live Apps
8.4 Updating and Version Control
9. Real-World Business Use Cases
9.1 Sales and Revenue Tracking Dashboard
9.2 Customer Support Analytics Portal
9.3 Supply Chain Monitoring Application
9.4 Financial Risk Assessment Tool
10. Resources and Further Learning
10.1 Essential Packages and Tools
10.2 Community Forums and Tutorials
10.3 Continuing BI App Development
10.4 Career Paths in Data-Driven Business Intelligence

This course equips you with the knowledge to build sophisticated, real-time business intelligence applications using Shiny, transforming raw data into actionable insights. By mastering these skills, you can deliver dynamic, user-centric dashboards that drive smarter decision-making across your organization.