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IDQ Webinars: with Gian Di Loreto


Topic:

How to integrate Data Quality as part of your Master Data Management Solution

Abstract:

Data Quality is a problem that everyone has, and that by now most of us understand. Gone are the days when we had to explain to decision makers what data quality is and why it’s important.  However, we still have no out of the box solution to our data quality problems. Progress is fleeting and incremental at best. 

Master Data Management (MDM), on the other hand, is a field in which great strides have been made.  Standard vocabulary and metrics exist, enterprise software solutions, whether standalone, or bundled with database engines exist and continue to improve. What is interesting to the data quality practitioner is that data quality usually manifests itself as a small subset of features in an MDM tool. Rather than using what we’ve learned about MDM to attack the ever-present issue of data quality, we have minimized the importance of data quality within our discussions of MDM.

This webinar will attempt to reconcile these two practices. Ultimately, we believe there is a solution to the data quality problem and there are aspects of MDM that can lead us to it. We will focus of Golden Record Management and tie the concept of a golden record to the concept of a ‘subject’ in a data quality project. We will also discuss the data enrichment techniques applied in MDM to slowly changing master data and learn how we might extend these techniques to large sets of transactional data.

Ultimately, we realize that in order to reach new heights we must not be afraid to stand on the shoulders of those whose work has preceded ours. A great deal of thought, time, and energy been invested in Master Data Management; let’s see if we can leverage this work and arm ourselves with the knowledge and solutions represented by MDM in our battle with data quality. 

Recording:

Speaker:

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Moderator:

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About IDQ Webinars:

An IDQ Webinar is a moderated webinar open to all, designed to serve as discussion platform for the data and information quality community. The webinars are supported and organized by the International Association for Information and Data Quality. IAIDQ seeks to engage experts with experience and expertise in the field of data and information quality.