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October 19, 2018

A Round-up of Our Hottest Data Management Articles

By FSFP

We started our blog back in April 2016, and today we’re celebrating our 100th article with a look back on the top five most popular ones, based on the highest number of views, reader comments and shares on social media. If you’re new to our blog, we cover a variety of topics (to date, more than 20) from our data…

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Data Remediation
January 15, 2018

What is Data Remediation and Why is It Needed?

By Angie Pribor

Over the last two decades of working in information management, I’ve had many opportunities to work on large-scale projects that have a heavy reliance upon high-quality, fit-for-purpose data. Back when master data projects were leading (and bleeding) edge, we didn’t know what we didn’t know (as they say). And in those early days, we also didn’t know a lot about…

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All I Want for Christmas is Better Data Quality
December 06, 2017

All I Want for Christmas is Better Data Quality

By John Ladley

This holiday season has me thinking about gifts for family and friends and also for my friends and colleagues in the information management industry — like the many senior executives I’ve worked with over my 30+ years. What do you give the executive who has everything? Better quality data, of course. Because data quality is that perfect present for today’s…

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Fundamental Concepts of Data Quality
July 10, 2017

Fundamental Concepts of Data Quality

By Malcolm Chisholm

Data is abstract. We can’t touch it or feel it, so we form mental concepts of it. Similarly, we find it difficult to pin down data quality with its conflicting definitions and terminology. Yet, there are fundamental concepts of data quality that information management professionals should rely on. Data Quality’s Manufacturing Roots Data quality is difficult to define, in part,…

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Is Data Quality Important for Big Data?
May 22, 2017

Is Data Quality Important for Big Data?

By John Ladley

By definition, Big Data means a large volume of data. When it comes to the topic of data quality, you may hear that large volumes of data can, in effect, dampen out any data inconsistency. This could lead to a line of thinking that the data quality of Big Data isn’t as important. While conceptually this may be accurate, in…

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