Customer Centricity and Connections: Establishing the Link

Blog Administrator | Customer Centricity, Data Management, Data Quality, Record Linkage | , ,

By David Loshin

In my last post, we began to look at the value proposition for grouping individual customers into logical groupings. We began by looking at a grouping that generally appears naturally, namely the traditional residential household.

We talked about householding in a previous blog posting, but it is worth
reviewing the basic approaches used for determining that a group of individuals
share a household.… Read More

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.

As long as there is some standard representation, we should be able to come
up with a set of rules that can help to rearrange the words in a data value
to match that standard.

… Read More

Entities and their Characteristics

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

By David Loshin

How can you tell if two records refer to the same person (or company, or other type of organization)? In our recent posts, we have looked at how data quality techniques such as parsing and standardization help in normalizing the data values within different records so that the records can be compared. But what is being compared? That is the topic of this next set of entries.
… Read More

What is Record Linkage?

Blog Administrator | Analyzing Data Quality, Data Quality | , , , ,

By David Loshin

In my last entry, I talked about the fact that many distributed pieces of data about a single individual can be combined together to form a deep profile about that individual. But how are different data records from disparate data sets combined to formulate insightful profiles?

The answer lies in the ability to collect the different pieces of data that
belong to a single individual and then glom them together.… Read More