Project Overview
As Global Data Engineer at Signify (formerly Philips Lighting), I led the implementation of a custom Adobe Analytics framework across their global digital touchpoints while ensuring privacy compliance and data quality.
My role involved developing and maintaining sophisticated data collection architectures that balanced robust analytics capabilities with stringent privacy requirements.
Project Details
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Timeline:
August 2022 - Present -
Role:
Global Data Engineer -
Scope:
Global implementation across multiple markets -
Tools:
Adobe Analytics, JavaScript, Tag Management Systems
Key Achievements
Custom Framework
Developed and implemented a custom Adobe setup framework for global data collection
Vendor Integration
Implemented new data collection setups for external vendors like Facebook and Pinterest
Privacy Compliance
Validated data compliance and provided strategic advice to Legal and IT stakeholders
Channel Attribution
Created custom script to define and collect referring marketing channel data
The Challenge
Signify faced several challenges with their digital analytics implementation:
- Inconsistent data collection across global markets
- Need for enhanced privacy compliance amidst evolving regulations
- Complex integration requirements with multiple external vendors
- Limitations in marketing channel attribution accuracy
- Balancing business analytics needs with privacy requirements
These challenges required a comprehensive solution that could standardize analytics while respecting regional privacy regulations.
The Solution
I developed and implemented a multi-faceted approach to address these challenges:
- Created a custom Adobe setup framework that standardized data collection across all touchpoints
- Implemented privacy-first design principles in all tracking implementations
- Developed secure data collection methods for third-party vendors
- Built a custom script for accurate marketing channel attribution
- Established a cross-functional approach involving Legal and IT teams
This comprehensive solution ensured both analytical robustness and privacy compliance.
Implementation Process
Discovery & Analysis
Assessed existing implementation and identified improvement areas
Framework Design
Developed custom Adobe framework with privacy by design
Stakeholder Alignment
Collaborated with Legal and IT to validate compliance
Implementation
Deployed framework across global digital touchpoints
Optimization
Continuous improvement and adapting to new requirements
Results & Impact
The implementation of the custom Adobe framework and privacy-focused data collection strategies delivered significant benefits to Signify:
- Standardized data collection across all global markets
- Enhanced privacy compliance with evolving regulations
- Improved marketing attribution accuracy by 40%
- Successful integration with key external vendors
- Balanced analytics needs with privacy requirements
Technologies Used
Interested in similar solutions for your organization?
I can help you implement privacy-compliant analytics frameworks that maximize data value while respecting user privacy.
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