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Monthly Archives: February 2016

A recap of our 'Improve your data usage in 2016' webinar

Every year we conduct a research study into data quality and data management trends. Yesterday we held a webinar to introduce our 2016 global data management benchmark report’s most important findings and conclusions. In case you missed our webinar highlights, we’ve included the three most important points that we touched upon, as well as a list of actions people can take to begin improving their data management initiatives now.

Today’s data landscape is virtually unrecognizable when compared to how it was 10 years ago. When you factor in the current pace of technological innovation, it’s not too farfetched to say that the next 10 years will see even more changes as to how organizations and individuals interact with and use data. The three topics we went over in our webinar were: Building customer relationships through better data, data quality challenges, and how data management is evolving.

Postcard from Port Elizabeth: Social immersion trip to Ubuntu Education Fund

I just returned from the trip of a lifetime! As cliché as it may be to make that claim, the week I spent in Port Elizabeth, South Africa really was. Different from what might come to mind when someone makes that statement, it was not a lavish, 5 star resort getaway—but it was one of the best weeks of my life by far and the trip was truly unique.

For the 2nd year in a row, Experian Data Quality has supported a partnership with the Ubuntu Education Fund located in the New Brighton township of Port Elizabeth, South Africa. As part of this partnership, employees have the opportunity to travel to Port Elizabeth on a social immersion trip to experience the work that is done by the non-governmental organization (NGO) and to further the relationship between Ubuntu and EDQ. I was fortunate to secure a spot on the trip along with 3 of my co-workers.

Manual vs. automated data validation

The debate between manual and automated data validation can go something like this:

Data stakeholder 1: “I would like to keep my data in-house and secure; I don’t know how I feel about paying a third-party to validate my database when I could do this myself.”

Data stakeholder 2: “Yes, I hear you, but how much of your team’s time and budget are you willing to dedicate to fixing something by hand when there’s technology that does it automatically?”
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