The efficacy of GenAI tools hinges on high-quality, clean data, as errors or inconsistencies can lead to misleading and potentially harmful outputs. Utilizing a modernized data platform that focuses on the key dimensions of data quality can enhance data governance and ensure data integrity before deployment in AI models.
Our ebook discusses the six key dimensions of data quality, which include:
- Accuracy
- Completeness
- Consistency
- Timeliness
- Validity
- Uniqueness
Once high-quality, clean data is available, firms can leverage AI for risk analysis, evaluating borrow creditworthiness, and predicting trends.
