Introduction

In today's competitive software and data-driven landscape, delivering actionable insights directly within the applications users already inhabit is a powerful differentiator, making Embedded Analytics and BI Integration a critical capability for enhancing user experience, driving product stickiness, and unlocking new revenue streams. Moving beyond traditional standalone BI tools, embedded analytics seamlessly integrates interactive reports, dashboards, and analytical functionalities into existing business applications, portals, or websites, providing contextualized data at the point of decision and empowering users to derive value without ever leaving their familiar workflow. This training course is meticulously designed to equip software developers, product managers, data architects, BI developers, and IT professionals with cutting-edge knowledge and practical skills in understanding the strategic value of embedded analytics, mastering various integration methods (APIs, SDKs, iFrames), leveraging leading BI tools' embedding capabilities, implementing robust security and access control, optimizing performance for integrated analytics, and effectively designing and deploying a seamless analytical experience that enhances user engagement and drives business outcomes. Participants will gain a comprehensive understanding of how to transform applications into intelligent, data-powered solutions, fostering a truly data-driven ecosystem.

Duration

5 days

Target Audience

• Software Developers
• Product Managers
• Data Architects
• Business Intelligence (BI) Developers
• Solution Architects
• IT Managers
• UI/UX Designers (with a data focus)
• SaaS Product Teams
• Business Analysts (involved in product strategy)
• Anyone looking to enhance applications with data insights

Objectives

• Understand the strategic importance and benefits of embedded analytics.
• Master various methods for integrating BI content into applications (iFrame, API, SDK).
• Learn to leverage leading BI tools' capabilities for embedded analytics.
• Develop proficiency in implementing robust security models for embedded content.
• Understand performance optimization techniques for integrated dashboards.
• Explore customization and white-labeling options for seamless user experience.
• Develop skills in designing contextual and actionable analytics within applications.
• Learn about the deployment and management considerations for embedded BI solutions.

Course Content

Module 1. Introduction to Embedded Analytics and BI Integration

• Defining Embedded Analytics: Integrating BI into existing applications
• Strategic Value Proposition: Enhanced user experience, increased adoption, new revenue streams
• Traditional BI vs. Embedded BI: Key differences and why the shift
• Common use cases for embedded analytics (e.g., SaaS products, internal portals)
• Overview of the embedded analytics ecosystem

Module 2. Integration Methods: iFrames, APIs, and SDKs

• iFrame Embedding: Quick and simple integration, limitations
• REST APIs for BI: Programmatic access to data and reports
• Software Development Kits (SDKs): Deeper integration, more control
• Choosing the right integration method based on requirements
• Practical examples of each integration approach

Module 3. Leveraging BI Tools for Embedded Analytics

• Power BI Embedded Analytics: Power BI Embedded, embedding with Power BI Premium
• Tableau Embedded Analytics: Tableau JavaScript API, embedding Tableau Server/Cloud content
• Looker Embedded Analytics: Looker Embed SDK, signed embedding
• Overview of other embedded BI solutions (e.g., Qlik, Sisense, Domo)
• Key features offered by BI tools for embedding

Module 4. Security and Access Control for Embedded Analytics

• Row-Level Security (RLS) and Column-Level Security (CLS) in embedded contexts
• Authentication and Authorization: Single Sign-On (SSO), custom authentication
• Data Governance for embedded content: Ensuring data integrity and compliance
• Protecting sensitive data in embedded environments
• Best practices for secure embedded analytics implementation

Module 5. Performance Optimization for Integrated Analytics

• Optimizing Data Models for Embedded Performance: Efficient queries, aggregations
• Caching Strategies: Improving load times for embedded dashboards
• Real-time vs. Scheduled Data Updates: Impact on performance and freshness
• Network considerations for embedded analytics
• Monitoring and troubleshooting performance issues

Module 6. Customization and User Experience Design

• White-Labeling: Matching the look and feel of the host application
• Custom Visualizations: Extending BI tool capabilities for unique needs
• Designing Contextual Analytics: Providing relevant insights at the point of need
• User experience (UX) best practices for embedded dashboards
• Creating a seamless and intuitive analytical experience

Module 7. Deployment and Management of Embedded BI Solutions

• Deployment Architectures: Cloud-native, hybrid solutions
• Scalability Considerations: Handling increasing data volumes and user concurrency
• Version Control for Embedded Content: Managing updates and changes
• Monitoring and Alerting for embedded analytics performance
• Lifecycle management of embedded BI components

Module 8. Advanced Topics and Future Trends

• Embedded Self-Service Analytics: Empowering end-users to create their own reports
• AI and Machine Learning in Embedded Analytics: Predictive insights, automated narratives
• Monetization Strategies for Embedded Analytics: Offering premium analytical features
• Digital Transformation driven by embedded insights
• The evolving role of embedded analytics in product strategy and innovation.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.