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.
Read More

In a Global Economy, a Global Solution is Vital

Melissa Team | Address Quality, Address Standardization, Address Validation, Data Integration, Data Management, Data Quality, International Address Verification | , , , , ,

By Patrick Bayne
Data Quality Tools Software Engineer

Heidelberglaan 8
3584 CS Utrecht

If you were given this address, how would you know it was valid? Is it formatted
correctly? How long will it take you to verify? For years businesses have
understood a need for address validating solutions, because clean, accurate data
is essential.… Read More

Translating Expectations into Quality Directives

Blog Administrator | Analyzing Data Quality, Data Integration, Data Management, Data Quality | , , , ,

By David Loshin

In my last post, I raised the question about the variety of terms used in describing address quality, and I introduced a set of core concepts that needed to be correct to provide the best benefits for accurate parcel delivery.
Read More

Sometimes Data Quality is the Law

Blog Administrator | Analyzing Data Quality, Data Cleansing, Data Integration, Data Management, Data Quality | , , , , ,

By Elliot King

We have all read the statistics about the real costs that poor data quality represents. And intuitively, we know that bad data is, well, bad. But, in many cases, bad data is more than just bad for business.
Read More

Clean Data is Good Data

Blog Administrator | Analyzing Data Quality, Data Cleansing, Data Enrichment, Data Integration, Data Management, Data Quality | , , , , ,

By Elliot King

The cliché is as old as computing itself–garbage in, garbage out. And that cliché is as true now as ever, if not more so. Unfortunately, with information flowing into companies from so many sources including the Web and third-party providers, mistakes should not just be expected; they are basically inevitable.
Read More