Informatica Data Quality is specifically designed to put control of data quality processes in the hands of business professionals. With unparalleled ease-of-use, the software delivers powerful data quality profiling, cleansing, matching, and monitoring capabilities in a single solution. Data analysts and data stewards use the intuitive Informatica Data Quality interface to design, manage, deploy, and control individual and enterprise-wide data quality initiatives. By providing a complete platform for ongoing measurement, monitoring, tracking, and data quality improvement at multiple points across the organization, Informatica Data Quality empowers business information owners to implement and manage effective and lasting data quality processes.
Informatica Data Quality Benefits
Increase revenue and improve customer service with high quality customer data
Increase confidence and reduce risks associated with compliance initiatives, e.g. Sarbanes Oxley, Know Your Customer, Basel II, HIPAA, etc.
Enable better decision making based on complete and accurate customer, product, inventory, sales, and financial data in the enterprise
Increase operational efficiencies by quickly identifying poor data quality and implementing ongoing data quality processes
Informatica Data Quality Features
Data Quality Analysis.
Data quality analysis enables data analysts and data stewards to identify, categorize, and quantify low quality data. With business rules and reference data, users can categorize low quality data against a framework of data quality dimensions such as completeness, conformity, consistency, duplication, integrity, and accuracy. The results can be displayed graphically on the desktop with drilldown via the Data Quality workbench or can be written to a database. Desktop reports are used as a data quality scorecard and enable the user to demonstrate progress rapidly within a data quality project.
Data Cleansing and Standardization.
Comprehensive data cleansing and parsing capabilities enable data analysts and data stewards to cleanse, standardize, validate, enhance, and enrich all types of enterprise data, including customer, product, financial, inventory, and asset data. The software addresses standardization and validation for a range of countries. It uses business rules and reference data dictionaries to parse and standardize free-form text data elements. Cleansing is an iterative process; data quality rules are validated using the Data Quality workbench reports to demonstrate improvement.
Data Matching.
Robust and flexible data matching capabilities enable data analysts and data stewards to identify relationships between data records for de-duplication prior to a consolidation process. Matching capabilities cover a range of components which provide transparency and control to users and can be applied to any data field; matching can be applied to customer data or product data. The software processes multiple sets of business rules concurrently and uses "householding" techniques to identify members of common "households" or corporations.
