In today’s complicated IT environments, the ability to accurately measure and validate data quality is a major factor in uncommon business success, according to Aberdeen Group.* Unfortunately, many IT departments cannot support their company’s data-quality efforts without a high drain on resources. When it comes to transactional data assurance, many IT departments rely on SQL queries or manual checking—a tedious process that is error-prone, time-consuming, labor-intensive, and costly, espe

Pervasive Data Profiler provides a proven way to rapidly deploy assessment projects, and proactively audit data before loading, during loading, or afterwards. It can assess data across multiple databases and files, providing objective and actionable results. By applying multiple tests to large amounts of data, it provides detailed results on which data passed, which data failed, and why it failed. It analyzes each data set, then generates detailed reports showing audit results.

Connectivity is

The easy-to-use AutoGen feature delivers automatic, one-step generation of a variety of standard metrics. Additional testing metrics can be easily added without limitation.

This ease of use helps ensure fast implementation with low learning curves. In many cases, users can audit data with limited or no assistance from the IT department.

Pervasive Data Profiler delivers actionable, at-a-glance charts backed by drill-down analysis with percentages of success rate and specific counts. This information enables you to make faster, more accurate decisions. Parallel execution with automatic scaling across multiple cores delivers lightning-fast processing of large data sets with complex rule analysis.

• 3-D color pie and bar charts
• Ability to drill down on data within charts
• Versatile presentation formats: PDF, HTML and CSV
• Detailed view
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• Proactive data auditing
• Data compliance with 100% testing of data
• Immediate ROI with affordable price point and out-of-the-box usability
• Ability to test ever-changing compliance requirements
• Testing and validation of data across multiple platforms
• Automated data testing

• Low TCO with results in minutes or hours, not days
• Reduced training costs and learning curves
• Elimination of costly network with upfront analysis
• Perfect fit for ETL and data quality projects