Develop Single View of Customer across Non PII Adobe Analytics data and PII Salesforce CRM data within AWS Data Lake for Machine Learning
Engineered a solution to integrate anonymized Adobe Analytics data with Salesforce CRM in AWS Data Lake, enabling a unified customer view, real-time data synchronization, and scalable machine learning models, resulting in faster processing and improved marketing targeting.
Objective
Engineer a solution to push anonymised event stream Adobe Analytics data into an AWS data lake and stitch it with customer profile salesforce CRM data to enable a single view of customer reporting and machine learning initiatives.
Approach
- Creation of current state to target state roadmap
- Creation of technical solution designs
- Stakeholder management and consensus for solutions
- Gain solutions endorsement with governance groups
- Lead engineering groups to implement solutions
- Enable capability and build solutions
- Test and validate solutions
- Provide stakeholder handover
Outcome
Successfully engineered and implemented a comprehensive data integration solution that:
- Created a unified customer view by securely combining Adobe Analytics event data with Salesforce CRM profiles in AWS Data Lake
- Implemented robust data governance and privacy controls to ensure compliant handling of PII and non-PII data
- Established automated ETL pipelines for real-time data synchronization between systems
- Developed scalable machine learning models for customer behavior prediction and segmentation
- Delivered Power BI dashboards providing actionable insights into customer journey and engagement patterns
The solution resulted in:
- Reduced data processing time from days to hours
- Enhanced ability to predict customer behavior and preferences
- Improved targeting and personalization capabilities for marketing campaigns
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