Data-Centric QA On Customer 360

Key Highlights

• 360-Degree Customer Profiles: Strategize customer treatments, personalized campaigns, and market basket analysis through comprehensive data.
• ETL Challenges Demystified: Tackle complexities with ETL processes, emphasizing data-centric testing for quality and accuracy.
• Data Transformation Transparency: Illuminate retail data transformation’s ‘black box’, boosting authenticity with a formal Data-centric QA Strategy.
• Mitigating Data Quality Risks: Understand and address data quality risks at different ETL stages, ensuring authenticity for retail business users.