Informatica Data Quality is an open solution for all applications. It gives the user access to data source anywhere, anytime. It also facilitates the deployment of centralized data quality to enhance data quality across all applications.
Informatica Analyst, an easy-to-use browser-based tool, helps business users enhance the quality of data
by providing functionalities of filtering and drilling down on specific records to easily identify data errors.
With the identification of glitches, business users can monitor and share data quality metrics along with
the scorecards and reports. Informatica Developer provides eclipse-based development environment
aimed toward improving data quality and developer productivity. The tool allows business users to easily
discover and access all enterprise data irrespective of the location of the data. It also assists users with
enhancing the process of analyzing, profiling, validating, and cleansing data.
In addition to these products, Informatica also provides rich features in its data quality products. These
features include global matching, de-duplication of data, worldwide address cleansing, and versatile data
quality management. Informatica offers enhanced flexibility and agility to its customers in terms of
accessing and cleansing the data which is located at any source within an enterprise, be it on premises, on
the cloud, Hadoop environment, or in the latency mode, which includes web services, messaging,
federated SQL, event-based alerts, and ETL.Show More
USP : Informatica offers Informatica Data Quality as the core product in data quality tools market. Informatica Data Quality delivers ensures data quality for all business applications, whether they are on-premises or cloud applications. Informatica Data Quality includes unified role-based tools that facilitate the participation of business in the data quality process and deliver comprehensive support for applying data quality rules to products, assets, and customer data. These quality rules can applied across the enterprise for data quality purposes.