MIDAS / Data Quality Concerns

The overwhelming concerns surrounding unclean data have convinced many companies that a robust and flexible solution is the only way to handle data hygiene issues. A quality data is the foundation on which every company's strategy is built as well as many by which it is communicated to various stake holders and customers.

A Gartner Inc's research report has predicted that ‘dirty data' will cause 50 per cent of the insurers to have compromised decision-making assumptions by 2012. Data cleansing (also called as data scrubbing) is the act of detecting and removing corrupt or inaccurate records from a database.

Bodhtree's MIDAS (Multi Industry Data Anomaly Solution) Provides scalable and flexible technique of giving customers the choice to opt for Application Integration, Data Integration, Data Quality and Advanced analytics. MIDAS is becoming popular among the various verticals, because it not only provides customers the data integration and hygiene issues, it also allows organizations to valuable options to seamlessly integrate the solution into various applications.