Description

Introduction

The Adobe Analytics Developer Expert training is designed for advanced developers who are responsible for implementing, customizing, and optimizing Adobe Analytics in complex web and mobile environments. This training provides a deep dive into data collection, report suite configuration, advanced tracking techniques, and integration with other systems. It also covers API usage, automation, and advanced data analysis to help developers deliver precise and actionable data insights.

Prerequisites

• Strong experience with Adobe Analytics platform features and functionality.
• Proficiency in JavaScript, HTML, and CSS.
• Deep understanding of data layers, tracking codes, and web analytics concepts.
• Familiarity with Adobe Experience Cloud tools and integrations.
• Experience with Adobe Launch or other tag management solutions.
• Understanding of API integrations and data extraction processes.

Table of Contents

1. Advanced Adobe Analytics Concepts

1.1 Overview of advanced features in Adobe Analytics
1.2 In-depth look at Adobe Experience Cloud tools
1.3 Understanding the developer’s role in a broader analytics ecosystem

2. Custom Implementation of Adobe Analytics

2.1 Setting up and customizing report suites
2.2 Implementing complex tracking scenarios (eVars, props, events)
2.3 Advanced data collection techniques for dynamic sites
2.4 Cross-domain tracking and attribution modeling

3. API Integration and Automation

3.1 Deep dive into Adobe Analytics APIs(Ref: Adobe Analytics Business Practitioner Professional training)
3.2 Authentication mechanisms and best practices
3.3 Automating data extraction and reporting tasks with APIs
3.4 Integration with third-party systems via APIs

4. Advanced JavaScript for Data Collection

4.1 Writing custom JavaScript for Adobe Analytics
4.2 Using advanced coding techniques for complex tracking requirements
4.3 Debugging, error handling, and troubleshooting JavaScript in Adobe Analytics
4.4 Optimizing website and app performance through efficient coding

5. Adobe Launch: Advanced Tag Management

5.1 Working with Adobe Launch and custom rules
5.2 Managing extensions and integrations in Adobe Launch
5.3 Advanced debugging and testing in Adobe Launch
5.4 Implementing complex tag sequencing and conditional firing

6. Data Layer Implementation and Management

6.1 Structuring and managing data layers for scalability
6.2 Advanced use cases for data layers in dynamic sites
6.3 Best practices for data layer implementation in large-scale environments
6.4 Integrating data layers with other Adobe Experience Cloud tools

7. Real-Time Analytics and Reporting

7.1 Building and customizing real-time reports in Adobe Analytics
7.2 Implementing real-time data pipelines
7.3 Integrating Adobe Analytics with third-party visualization tools
7.4 Optimizing performance and accuracy in real-time reporting

8. Advanced Reporting and Analysis Techniques

8.1 Customizing Adobe Analytics reports using advanced features
8.2 Using calculated metrics, segments, and datasets
8.3 Enhancing reporting through automated dashboards
8.4 Integrating Adobe Analytics with Business Intelligence tools

9. Privacy and Compliance in Adobe Analytics

9.1 Ensuring GDPR and CCPA compliance in analytics implementations
9.2 Managing sensitive data and user privacy in tracking
9.3 Handling data retention policies and user consent
9.4 Best practices for secure data collection and analysis

10. Best Practices for Adobe Analytics Developer

10.1 Optimizing for performance and scalability
10.2 Managing large, complex implementations efficiently
10.3 Leveraging debugging and monitoring tools
10.4 Enhancing data quality through continuous testing and validation

Conclusion

The Adobe Analytics Developer Expert training equips participants with the advanced skills needed to handle complex implementations, API integrations, and deep analytics tasks. By mastering these advanced concepts, developers will be able to ensure accurate, actionable data collection, improve site and app performance, and optimize Adobe Analytics for enterprise-level environments. This training prepares participants for certification and expert-level roles, allowing them to enhance their organizations’ digital analytics capabilities.

Reference