Filed under: Business Intelligence, Data Analysis, Data Governance, Data Integration, information strategy, Metadata
Even if in reality the dividing lines for data management are not always well-defined, it is possible to organize different aspects of information management within a virtual stack that suggests the interfaces and dependencies across different functional layers, which we will examine from the bottom – up.
I have been assembling a slide deck for an upcoming TDWI web seminar on Strategic Planning and the World of Big Data, and I am finding that I might sometimes use two different terms (“data reuse” and “data repurposing,” in case you ignored the tootle of this post) interchangeably when in fact those two words could have slightly different meanings or intents. So should I be cavalier and use them as synonyms?
When I thought about it, I did see some clarity in differentiating the definitions:
- “data reuse” means taking a data asset and using more than once for the same purpose.
- “data repurposing” means taking a data asset previously used for one (or more) specific purpose(s) and using that data set four a completely different purpose. Read more
Filed under: Data Governance, Data Profiling, Data Quality, Master Data
I am honored to be one of the co-moderators of the upcoming TDWI Solution Summit on Master Data, Quality, and Governance, to be held March 4-6 in Savannah, GA. I attended one of these events in the past, met a lot of people currently engaged in launching an MDM project, but this year I have helped to find some cases studies that focus on master data as a result of good data quality and governance techniques, not the driver. Please go to the web site and check it out, then apply to be a delegate! Hope to see you there!
Filed under: Data Governance, Data Quality, Events, Identity Resolution, Master Data
I have a friend in the neighborhood, and coincidentally he shares a name with another person who also lives in our neighborhood. As a joke, while I refer to my friend by his name (say for argument’s sake it is “Arnie Hollingsworth”), I refer to the other guy as “The Other Arnie Hollingsworth.”
I have been participating in a series of events sponsored by DataFlux on strategies for long-term success for enterprise master data management projects. We are about halfway through the series, and so far I have noticed two common threads among the questions posed by the attendees. The first thread involves justifying the value of MDM knowing that there is significant upfront effort that might not lead to the commonly-noted benefits. The second is about herding the business managers together to have them discuss (and hopefully agree) about the impacts of replicated records and inconsistent semantics.