A company is adopting a new ETL tool that leverages AI for data quality improvement. What are key factors to consider in this transition?
- Compatibility, Data Volume, Vendor Reputation, ETL Tool Interface
- Cost, Brand Recognition, Speed, AI Model Accuracy
- Integration with Existing Systems, Scalability, User Training, AI Model Interpretability
- Security, Employee Feedback, Customization, AI Model Size
Key factors to consider in adopting an AI-driven ETL tool include Integration with Existing Systems to ensure compatibility, Scalability for handling future data needs, User Training for effective tool utilization, and AI Model Interpretability for understanding and trusting the AI-driven data quality improvements.
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