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Find and fix data problems quickly with DataVera Clean

Employing standards within a dataset or across multiple datasets is an important key to achieving true data quality. Without standards, data can be difficult or impossible to find let alone use. In addition, duplicate and redundant descriptors within datasets can become rampant further diminishing the usefulness of the data.

DataVera Clean™ is a smart investment designed to reduce your overall business risk caused by poor data

Traditional efforts to clean-up databases rely on manual processes to look at the data, fix the data and then apply the fixes to production. This often takes multiple spreadsheets and numerous data scripts to fix the problem. When using these manual methods, decisions are not automatically shared with the whole project and record-by-record standardization takes a significant amount of time.

DataVera Clean is a technology that identifies standards non-compliance, makes suggested replacement values based on industry rules and standards bodies, and applies the changes appropriately to the data.

What’s Your Data Telling You™

No matter what type of data, Intervera Data Solutions can provide the capability to profile, to standardize and clean data, to find and match duplication information, and to convert energy data. DataVera is a data quality solution that, unlike traditional methods uses a continually growing library of reusable and automated data solutions that transforms the data in less time with a higher quality.

Contact us now for a demo of DataVera Clean.

 

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