Category Archives for "Data Quality Techniques"

1 Are your data migration sponsors creating another data quality halloween story?

If you are project sponsor of a data migration then you’re aware that to create a successful project (i.e. data migration doesn’t fail + target system receives operational data) you need good quality data.This doesn’t magically happen of course. It requires a data quality management strategy of people, processes and technology.You’ve got one of those […]

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3 Promoting DQ Tools for Data Migration Projects

One of our members recently had a tough time convincing her peers and sponsors of the need for a DQ tool on their forthcoming data migration project. She had been pitching the benefits primarily of cleanse, citing the fact their migration tool had limited DQ capabilities so an additional toolset to manage the more complex […]

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How to create a data quality rules management repository (Part 2 – Creating the application)

This post is the second in a series that explains how to create a data quality rules repository using a simple web app for building the functionality. The following video will illustrate how to create an online application to store, query and share your data quality rules across disparate teams and organisational units. By creating […]

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2 How to create a data quality rules management repository (Part 1 – What are data quality rules?)

In this two part series we will look at the importance of creating a data quality rules process in your data migration project and how to create an accessible online application for storing, reporting and coordinating these rules.If your project does not have a structured approach to discovering, measuring and resolving data quality rules then […]

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