Data profiling is an important activity that businesses participate in to assess the current state of their enterprise data. Data profiling is often part of a broader data quality management, master data management, or information asset management initiative. Effective data profiling techniques include the collection, aggregation, and examination of information from multiple sources, for the purposes of gathering statistics (mean, median, frequency, variation, etc.) and details (structure, content, format, classifications, etc.) about it.
Companies that are actively and thoroughly profiling their data on a regular basis will realize substantial benefits. The valuable insight that is gathered through data profiling activities can be used to measure and enhance the integrity of the information used in planning and decision making, and to determine how accessible and usable that data is for stakeholders across the business. Data profiling can also help companies to better manage risk and minimize delays during integration, data warehousing, business intelligence (BI), and other critical IT projects. Additionally, many organizations use the results to data profiling efforts as a basis for defining and enforcing rules for data handling, maintenance, and sharing.
The iWay Data Profiler from Information Builders, part of the iWay Omni-Gen Data Quality Edition, enables users to asses and understand their enterprise data by querying, reporting, analyzing, delivering, and displaying electronic profiling details from any source or system, in any way they choose. With powerful capabilities such as pre-built metrics and customizable business rules for monitoring data, the iWay Data Profiler can generate advanced, in-depth reports and profiling information to provide efficient and accurate measurement, tracking, and comparison of data quality improvements over time.
The iWay Data Profiler's innovative features allow users to:
- Generate simple to advanced profiling information – including basic data statistics, uniqueness, frequency, and masks – with capabilities for semantic profiling and the application of complex business rules
- Perform deep relationship analysis using primary and foreign keys
- Query, report, analyze, deliver, and display electronic profiling data in any way, using mature tools for data quality monitoring, reporting, and analytics
- Collect, consolidate, and store drill-down data in a database, so the exact records that fall into profiled categories can be reviewed
- Archive profiling information for on-demand reporting, as well as graphical and intuitive analysis of the variance in data profiles over time, or comparison of archived profiling sets
- Print profiling information; export it to industry standard formats like HTML, Adobe PDF, and Microsoft Excel; or share it with other users