 |  | | | Benefits
Uncover both obvious and hidden database problems
Eliminate duplicates from all your databases
Prevent new duplicates from occurring
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Get Clean, Stay Clean™ across all your databasesLarge databases are riddled with data quality issues - and the larger the database, the greater the problem. It's an issue that affects every organization - especially as business data volumes are growing exponentially. Massive databases typically come from multiple sources: mergers, acquisitions, and independently managed business units. Data that works fine within a narrow context may create unexpected consequences in a larger context, as inconsistent data is compared and contrasted to additional sources across the enterprise. Duplicate rates of 10-40% are typical for large databases, even for vigilantly maintained data sources. Key fields in the duplicate records may contain inconsistencies, typos, or missing data that stymie attempts to match them. No wonder that the Gartner Group estimates that 25% of corporate data has significant data quality issues and that nearly 80% of IT and Financial Executives believe there is room for improvement in the accuracy, timeliness, and availability of their corporate information for management decision-making. (Source: Deloitte Consulting, LLP).
The Netrics Matching platform supports a powerful approach to data quality: Get Clean, Stay Clean™ - Get Clean - the Netrics Matching Platform recognizes subtle similarities that other technologies miss, and can easily reproduce the decision-making of your top business experts to decide whether two or more records represent the same information.
- Stay Clean - deploying the Netrics Matching Platform in the background of your existing enterprise architecture allows the system to monitor database transactions that add or modify records. New duplicates are eliminated at the source, before they become a problem.
Netrics's Data Quality Solution represents the state of the art in the industry. That's why the Gartner Group singled out Netrics as a 2006 "Cool Vendor" and included it in the 2007 Magic Quadrant for Data Quality.
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