Data Quality Management

Data Quality Management plays a crucial role in ensuring that the data a company relies on is accurate, consistent, and reliable. This process involves a series of steps aimed at improving the overall quality of data within an organization.

One key aspect of Data Quality Management is the automation of tasks such as standardization, cleansing, and the management of unstructured or free-text data. This automation is achieved through the use of advanced algorithms known as Auto Structured Algorithms (ASAs). These algorithms are designed to automatically structure and clean data according to predefined rules and standards.