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1. 1Export data from SAP using APIs or software connectors
2. 2Apply data transformation and formatting using tools like Pandas or NumPy
3. 3Use machine learning libraries like Scikit-learn to automate data cleansing and feature engineering
4. 4Configure and run automated data pipelines using tools like Apache Airflow or Zapier
5. 5Test and validate the accuracy of automated data cleansing outputs

Data analysts and scientists on a team can benefit from automating data cleansing tasks to focus on higher-level tasks, and data engineers can help implement these solutions

💡 Automating data cleansing tasks can save time and increase accuracy, allowing data professionals to focus on higher-level tasks

🚀 Automate data cleansing tasks with AI and ML! 💻