DataFlux Data Management Studio: Data Quality

The intuitive way to improve the quality of corporate information

DataFlux, the recognized industry leader in data quality, has a proven track record of rationalizing, standardizing and transforming data – structured or unstructured – into a corporate asset. DataFlux data quality technology helps you order and understand the information in your organization, making your data better and driving better business decisions.

The industry-leading data quality technology of DataFlux Data Management Studio enables both business and IT users with the ability to drive comprehensive data quality initiatives. Through patented matching technology, transformation routines and identification logic, DataFlux helps you easily correct data problems for any and all types of data anywhere across the enterprise.

Data Management Studio allows you to:

• Plan and prioritize data correction initiatives
• Identify and resolve problematic data
• Standardize, normalize and transform data
• Validate data and improve overall accuracy

Analyze, standardize and improve data

DataFlux data quality technology offers a complete solution set for managing enterprise data quality improvement initiative so you can:

• Unify data with the industry-leading matching technology and innovative clustering logic
• Eliminate inconsistent data, enforce standardization rules and create consistent addresses, abbreviations and titles through standardization
• Unlock the potential of data by separating values as required through natural language parsing
• Automatically identify product data, including quantity, packing, shipping and other common data elements
• Enable both business and IT groups to easily build business rules to find data that does not comply with established standards through an intuitive user interface
• Correct duplicate records, non-standard data representations, unknown data types and other data quality issues
• Establish data hierarchies and reference data definitions, critical for creating a unified view of a particular data entity, such as customer, product or supplier