Category Archives: Data Strategy

Where Do Duplicates Come From?

Posted on August 13, 2020 by Andrew Dean

We all know that having duplicates within our customer base is a bad thing. But where do they come from? Firstly lets be clear what we mean by “customer base”. All businesses deal with people. And a person may be … Continue reading →

Posted in data matching, Data Quality, Data Strategy, entity resolution, Golden Record, Project Management, Single Customer View, Uncategorized | Leave a comment

Data Quality in Data Science

Posted on June 8, 2020 by Andrew Dean

I have seen quite a few posts recently from the Data Science community, bemoaning the amount of time spent on addressing data quality in preparation for getting into the science part of the role. When I (and I’m sure many … Continue reading →

Posted in data matching, Data Migration, Data Quality, Data Science, Data Strategy, entity resolution, Project Management, Single Customer View, Uncategorized | Leave a comment

Customer Data Migration Complexity Assessment

Posted on May 7, 2020 by Andrew Dean

There are many components of a data migration project that make such projects challenging – the technology, the politics, requirements, security, systems integration, budgets etc. So much so that the data itself can get overlooked. Crazy since the data is … Continue reading →

Posted in data matching, Data Migration, Data Quality, Data Strategy, entity resolution, Golden Record, Project Management, Single Customer View, Uncategorized | Leave a comment

Identifying Duplicate Customers (Part 3)

Posted on April 27, 2020 by Andrew Dean

It ought to be pretty clear by now that identifying duplicates within and across Customer data sources is a very tricky business. This is due to:- The absence of a single unifying key. Differences in data structure between sources. Consistency … Continue reading →

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Identifying Duplicate Customers (Part 2)

Posted on April 15, 2020 by Andrew Dean

In this post I am going to continue to look at the logic involved in identifying duplicate customers that I began in my previous post (http://wp.me/p2lbpw-au). To recap, and for ease of explanation all examples given will be for personal … Continue reading →

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