To complete any conversion, with success, always seems to require a good understanding of the existing environment and platform. In fact, I would not move forward without the background analysis work products. You may want to consider some analysis of what is already in place, and understand: What is the
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Conference season is hotting up in the UK, and there are no doubt lots of practitioners putting the finishing touches to their data quality presentations. One interesting observation I’ve encountered is a high churn rate amongst data quality professionals, particularly within the leadership community. Their decision to quit is not
Every day of the year, there's a holiday celebrating one thing or another. In fact, you probably didn't know that Oct. 22 WAS CAPS LOCK DAY. Whoops. Or, if you're like me, you completely spaced on Oct. 26. It was Mother-in-Law Day. Boy, we'll be hearing about that for the
.@philsimon on data and our viewing habits.
In my previous post, I used the book Mastermind: How to Think Like Sherlock Holmes by Maria Konnikova to explain how additional information can make us overconfident even when it doesn’t add to our knowledge in a significant way. Knowing this can help us determine how much data our decisions need to be driven
I thought it might be worth taking a short break from discussing metadata and instead cycle back to an idea that has been challenging me recently in a few of our current MDM consulting engagements. I have been examining patterns for master data use, and one of the common recurring
What is it about change that seems so difficult? Even if we are considered a flexible, creative or adventurous person, a first reaction is often to push back at change imperatives forced upon us by others. Part of this is probably a sign of the times. Self-determination is something that
I was recently asked what I would focus on given limited funds and resources to kickstart a data quality initiative. This is a great question, because I’m sure many readers will find themselves in this position at some point in their career. My answer is to become ruthlessly focused on
Thoughts on basic data management.
In her book Mastermind: How to Think Like Sherlock Holmes, Maria Konnikova discussed four sets of circumstances that tend to make us overconfident: Familiarity — When we are dealing with familiar tasks, we feel somehow safer, thinking that we don't have the same need for caution as we would when trying something