Ensure data accuracy and streamline analysis with Data Quality Insights in Oracle Fusion AI Data Platform. Learn how to quickly spot errors, make inline corrections, and manage data prep scripts for reliable reporting—explore more Fusion AI Data Platform tutorials and resources below. This tutorial shows how workbook authors can use Data Quality Insights to improve self-service data preparation. Visual indicators above each column help you detect and correct invalid codes, misspellings, or inconsistencies in your dataset. Step-by-step, you’ll see how to review quality bars, filter for errors, and make inline replacements for cleaner data. The process also covers managing and editing replace list steps in the preparation script panel, empowering you to maintain a clear record of changes. With these techniques, you can ensure your data is valid and trustworthy—making analysis more efficient and results more actionable. Please note: Oracle Fusion Data Intelligence (FDI) is now called Oracle Fusion AI Data Platform. All content remains the same, only the product name has changed. Explore a range of training programs in Oracle Analytics designed to boost your skills: https://social.ora.cl/60014Gf5v Check out detailed instructions on how to enhance your data using quality tiles: https://social.ora.cl/60074Gfo1 Like what you learned about Oracle Fusion AI Data Platform? Subscribe now https://social.ora.cl/60025k87j Join us at Oracle AI World: https://social.ora.cl/60035eVvJ Contact FAIDP Sales: https://social.ora.cl/6003FLUMT Learn more about Fusion AI Data Platform: https://social.ora.cl/6009FLU33 Fusion AI Data Platform Customer Success Stories: https://social.ora.cl/6002FLU3Q Follow us here: LinkedIn: https://social.ora.cl/60035eXuF X: https://social.ora.cl/6008abVgG Instagram: https://social.ora.cl/60095eXDN Facebook: https://social.ora.cl/60065enQp

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