The continued push in enterprises for data democratization, AI and ML usage and self-service BI is hampered by the lack of confidence in the quality of data. Data quality is the top data integrity challenge faced by most companies. The Data Sentinel tool securely ingests your enterprise data without copying it and can be deployed as a standalone solution or can be integrated with your existing data pipelines. This tool also designed to convert raw data into a structured and meaningful format suitable for analysis or integration with other systems. It can perform operations such as cleaning, filtering, aggregating, normalizing, or reshaping datasets to meet specific business requirements. Data Sentinel supports ingestion of data from Redshift, Snowflake, SQL databases, S3 and Azure Blob CSV and JSON files etc, thus enabling an end to end view of the enterprise and business unit data. Various roles like Data Steward, Business Owner / Data Leader and administrator can be configured, with each role having their own relevant views of the enterprise data quality. Overall, the Data Sentinel tool allows you to get an enterprise view of your data quality, achieve faster time to insights, provides you with unmatched flexibility, get accurate insights into data issues and reduce your business and IT costs.