The last three parts of our conversion blog (see all of the posts here) go hand-in-hand and require the most time on the project plan. Development - During development of the conversion routines, you may want to consider using error handling standards based on corporate standards. This is where data
In my previous post I explained that even if your organization does not have anyone with data steward as their official job title, data stewardship plays a crucial role in data governance and data quality. Let’s assume that this has inspired you to formally make data steward an official job title. How
Data. Our industry really loves that word, making it seem like the whole world revolves around it. We certainly enjoy revolving a lot of words around it. We put words like master, big, and meta before it, and words like management, quality, and governance after it. This spins out disciplines
Data stewardship is one of the most important, and commonly misunderstood, aspects of data quality and data governance. Not only are the characteristics of a good data steward a rare combination of skills to find in an individual employee, the culture of most organizations does not nurture the development of data stewardship. It would not
Truth is a funny thing. And I don’t just mean how some true things are funny. A few examples include that strawberries are not berries, peanuts are not nuts, Chock Full o’Nuts coffee does not contain nuts, and the singer-songwriter Barry Manilow did not write his hit song “I Write
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
In the first two parts of my series (part 1 and part 2), I talked about common ways data governance projects can (and do) fail and offered collaboration between teams as a key to achieving success. In this post, we’ll examine the importance of realizing the full value of your
In the first part of my series on ensuring data governance success, I mentioned the importance of linking different teams. Collaboration is an often overlooked, but critically important, part of having a successful project. Not only that, coordination and cooperation helps to create the right culture of data mindfulness throughout
The first step is establishing governance for reference data is assessing the existing reference data landscape: understanding what reference data sets are used, who is using them, and how they are being employed to support business processes. That suggests a three-pronged approach to identifying organizational business process and application dependencies
During client conversations I often hear stories about past efforts to launch data governance that never reached critical mass and ended up being resized and marginalized. I find such outcomes fascinating... in the same vein as a car crash that causes you to tap on the brakes as you drive
