Making Sense Out of Missing Data

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

By David Loshin

I have spent the past few blog posts considering different aspects of null values and missing data. As I mentioned last time, it is easy to test for incompleteness, especially when system nulls are allowed. And even in older systems, the variable ways that missing or null data is represented is finite, making it easy to describe rules for flagging incomplete records.
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The Challenge of Identifying Information

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

By David Loshin

In my last post, I introduced the question of determining which characteristics are used to uniquely differentiate between any pair of records within a data set. The same question is relevant when attempting to match a pair of records as well, once they are determined to represent the same entity.
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