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Data Quality Products > DataVera Match
Solve Duplication Issues with DataVera Match Duplication within and across record sets can be good or bad. “Negative duplication” means that the same information is replicated improperly and needs to be merged back together into one source of truth. The opposite is “positive duplication” where the same information must reside in different systems or data stores. Finding and fixing duplication are a key step to achieving confidence in your data stores. Once negative duplication is identified, the means to consolidate the records together can be arduous. Traditional efforts to find and fix duplication 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 Match is a technology that identifies duplication, leveraging business driven rules and complex matching algorithms. Business users have the capability to work through iterations without having to do complex programming or data queries. Match leverages industry based rules to automatically find and rectify duplication and apply ways to merge the records back into a single record. Currently, Match is delivered as part of our Data Clean-up Service which our customers use to quickly remedy the problem. 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. Our technology DataVera is a revolutionary 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. |
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