Content Standards for Data Matching and Record Linkage

Blog Administrator | Address Standardization, Analyzing Data, Data Management, Data Matching, Data Quality, Record Linkage | , , , , ,

By David Loshin

As I suggested in my last post, applying parsing and standardization to normalize data value structure will reduce complexity for exact matching. But what happens if there are errors in the values themselves?

Fortunately, the same methods of parsing and standardization can be used for the content itself.

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Normalizing Structure Using Data Standardization for Improved Matching

Blog Administrator | Address Quality, Address Standardization, Analyzing Data, Data Matching, Data Quality, Record Linkage | , , , , , ,

By David Loshin

In my last few posts, I discussed how structural
differences impact the ability to search and match records across different
data sets. Fortunately, most data quality tool suites use integrated parsing
and standardization algorithms to map structures together.
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Improving Identity Resolution and Matching via Structure, Standards, and Content

Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Enhancement, Data Enrichment, Data Integration, Data Management, Data Profiling, Data Quality, Duplicate Elimination, Record Linkage | , , , ,

By David Loshin

One of the most frequently-performed activities associated with customer data is searching – given a customer’s name (and perhaps some other information), looking that customer’s records up in databases. And this leads to an enduring challenge for data quality management, which supports finding the right data through record matching, especially when you don’t have all the data values, or if the values are incorrect.
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Modeling Issues and Entity Inheritance

Blog Administrator | Data Management, Data Quality, Fuzzy Matching, Record Linkage | , , , , , ,

By David Loshin

In our last set of posts, we looked at matching and record linkage and how approximate matching could be used to improve the organization’s view of “customer centricity.” Data quality tools such as parsing, standardization, and business-rule based record linkage and similarity scoring can help in assessing the similarity between two records.
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Approximate Matching

Blog Administrator | Analyzing Data, Data Management, Data Quality, Duplicate Elimination, Record Linkage | , , , , ,

By David Loshin

Actually, my first name is not David – that is really my middle name, but it is the given name my parents used when talking to me. This has actually led to a lot of confusion over the years, especially when confronted with a form asking for me “first name” and my “last name.”
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