DataFlux Data Management Studio: Data Profiling
DataFlux Data Management Studio provides industry-leading data profiling of data, capturing statistics that provide insight into the data. Data profiling is vital in identifying the root cause of poor-quality and disparate data sources. Through a data discovery program, Data Management Studio helps you gain the knowledge to design effective data quality, data integration and master data management (MDM) business rules to support every data-driven initiative.
Data profiling allows for a complete assessment of your organization's data, examining the structure, completeness and suitability of your data assets. Data Management Studio lets you:
- Develop a complete assessment of the scope and nature of data quality issues
- Create an inventory of data assets
- Inspect data for errors, inconsistencies, redundancies and incomplete information
- Build the foundation for future data management initiatives
DataFlux data profiling also provides industry-leading capabilities, including:
- Business rule validation – Ensure your data meets organizational standards for data quality and business processes by validating data against standard statistical measures as well as customized business rules
- Relationship discovery – Uncover relationships across tables and databases – and across different source applications
- Outlier detection – Detect data that falls outside of predetermined limits and gain insight into source data integrity
- Data validation – Verify that data in your tables matches its appropriate description
- Pattern analysis – Ensure that your data follows standardized patterns to analyze underlying data and build validation rules
- Statistical analysis – Establish trends and commonalities in corporate information and examine numerical trends via mean, median, mode and standard deviation