Harvest the Full Value of Your AI Initiatives

The reliability and effectiveness of AI models are dependent on the quality of data that is used. The consequences of using poor-quality data include decreased customer trust, non-compliance with regulatory requirements, and even financial and reputational damage.   

The Aquata™ data platform focuses on providing users with clean data by incorporating the six dimensions of data quality in the data cleansing and normalization process. This ensures the disparate data ingested into the systems becomes high-quality, clean data that can be used across the company, including for AI initiatives, such as: 

• Portfolio optimization 
• Risk analysis 
• Predictive trends 
• Risk management 
• Borrower creditworthiness 
• Operational efficiency