Dylan Jones is the founder of Data Quality Pro and Data Migration Pro, popular online communities that provide a range of practical resources and support to their respective professions. Dylan has an extensive information management background and is a prolific publisher of expert articles and tutorials on all manner of data related initiatives.
Whilst the success rate of data migration initiatives has climbed in recent years, I still find that one of the key goals of data migration, legacy decommission, often gets overlooked. The financial benefits of shutting down the legacy environment are many. Relinquishing licenses and dormant hardware are obvious advantages of
Within data quality circles there is often contentious debate surrounding the use of data quality software. Some practitioners believe that data quality software is a cost centre for the organisation that they can easily do without. They also believe that data quality software makes the organisation focus on repetitive, reactionary
As this blog is largely about data, you can rest assured this post will not be about the recent federal budget standoff in the US. Instead, I wanted to outline a growing issue that relates to the false promises that many data governance initiatives deliver. One of the big challenges that
In my last post I discussed one of the important traits that I feel truly great data stewards possess – the ability to effect change. Today I want to talk about how you actually identify, train and nurture everyday workers into the role of data stewards. Most organisations don’t have
With Data Stewards Day fast approaching I started to reminisce about the many data stewards I’ve had the pleasure of working with in the past. What struck me was just how many people take on the role of data steward - but under the guise of conventional roles. For example,
Root-cause analysis is a core technique of all data quality improvement initiatives. You can’t improve a situation unless you know what is causing it to happen in the first place. There are many different techniques for root-cause analysis. Recently I discussed the 5 Why’s technique and how to improve it
The “5 Whys” technique is one of the most commonly cited analysis tools in popular data quality texts, and for good reason. First, it's a simple tool to teach. It only takes a few minutes to explain to someone the basic workings of the 5 Whys approach. Start with a known
When I think back to the many data defects I’ve witnessed over the years, one of the biggest causes time and time again is conflicting rewards. All the technology, workshops and cultural change in the world cannot hope to turn around your data quality fortunes if you’re not aligning rewards.
Dylan Jones (@dataqualitypro) suggests adding some attributes to your data structures for better data quality.
Dylan Jones (@dataqualitypro) on why zero-defect migrations should be the mantra, not a myth.
