Of all the posts on my blog, the one that draws the most interest is my humorous story about the definition of data steward and data custodian. Commonly, people find it while looking for a good definition and list of responsibilities for a data steward or data custodian. The following is being posted to help answer that question.
These definitions and lists of responsibilities evolved over time while interacting with experts from a variety of companies. One caveat, these are job functions not job titles. The focus is on what someone does as part of their daily work. In some instances someone may be both a Data Custodian and a Data Steward. The responsibilities represent the collection of actions taken by someone fulfilling these functions. Normally, they have job titles such as Business Analyst, Functional Analyst, Data Analyst, Data Base Administrator, Data Modeler, and so on….
Use them and help evolve them….
Here are the definitions: Read more »
Tags: Data Custodian, data governance, data governance roles responsibilities, Data Management, Data Quality, data steward, data steward definition
Data Governance Fundamentals, Data Management, Data Quality, Metadata, Simple Data Governance | TomJ March 3, 2010 | 
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When I think about information architecture, I cannot help but compare it to the various forms of architecture in the physical world. Structures range from simple tents and tarps to soaring sky scrapers. In fact the original version of this entry started as I thought back on the scrap-wood tree houses we built as kids and compared them to the modern buildings we live and work in now. Read more »
Tags: data design, data governance roles responsibilities, Data Management, data model, innovation, WaMu
Communication, Data Governance Fundamentals, Data Management, Data Modeling, Uncategorized | TomJ February 22, 2010 |
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In order for any IT pro to really enjoy watching NCIS, they have to suspend reality particularly when McGee goes into action. Not action in the field, rather when he instantly gets into databases and merges the results to discover the trail of the villain. It really is BI nirvana. Read more »
Recently an acquaintance summed up data governance as “trying to do what is important, while be sidetracked by what is urgent.” To me this was an interesting observation, because it sums up a paradox associated with data governance. Resolving urgent data quality issues uses so many resources, there are often none left to implement the data governance processes that would resolve the root cause of data quality issues.
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Have you ever considered how important the mundane time-stamp is to your BI operations? Think about it, every report includes the element of time in it. The report is a snapshot in time, or covers a range of time. Accurate and timely business intelligence requires good records of the history within your business processes.
The problem we all run into is that the source transaction systems do not apply a great deal of effort recording events. Read more »
Recently I was booking air travel and some of the options struck me as odd routes. You know, going to your destination with two lay-over’s and a plane change. Oh and it takes about twice as long as a direct flight while the difference in price is minimal. So if we would not book our travel that way and we would not choose circuitous routes when driving either. Yet, routinely we architect information systems this way with higher overhead and operating expenses than needs to be spent to achieve the same goal. Read more »
Four Steps to Action
Two things many of my readers are searching for are a good definition for data steward, and a practical path to actionable data governance. This entry addresses the latter. While there is no silver bullet, here are four steps you can take after you get your senior management support. Read more »