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
In my last post, I shared some thoughts about challenges associated with the lack of management for reference data, such as reinterpretation of semantics and the inconsistencies that crop up when multiple copies are used. All of the challenges I mentioned are indications of a need for improving the enterprisewide
I've written many times on this site about the exceptional data-management techniques of Amazon. The company does a remarkable job at managing both its operational and analytical systems. Because of the way that it handles vast troves of information, Amazon can do things that many companies cannot even approach. Yet
Sometimes you have to get small to win big. SAS Data Management breaks solution capabilities into smaller chunks – and deploys services as needed – to help customers reduce their total cost of ownership. SAS Master Data Management (MDM) is also a pioneer in "phased MDM." It's built on top of a data
Cats and dogs. Hatfields and McCoys. Business and IT. Sometimes you just need a couple of names. Great rivalries need no further explanation. At SAS Executive Conference 2014, Jill Dyché, vice president of best practices at SAS, led a panel exploring the way that business leaders and their IT counterparts
In my three previous posts, I pondered whether unlimited data could limit data silos (i.e., whether offering users the enterprise data management equivalent of unlimited data streaming could curb their enthusiasm for creating data silos), or if streaming past the limits of unlimited data could create more data silos if users became frustrated with the practical
In my two previous posts, I pondered whether unlimited data could limit data silos (i.e., whether offering users the enterprise data management equivalent of unlimited data streaming could curb their enthusiasm for creating data silos) or if streaming past the limits of unlimited data could create more data silos if users
My previous post pondered whether unlimited data could limit data silos, which was inspired by an extended disruption in the internet service provided by my local cable company. This provided me the opportunity to see just how unlimited the unlimited data plan on my smartphone really was. Ironically, shortly after my
Some strong storms recently caused an extended disruption in the internet service provided by my local cable company, which gave me an opportunity to test the reliability of my smartphone's mobile broadband connectivity as well as see just how unlimited my unlimited data plan really is. After successfully passing both aspects of
Lately, there's been lots of buzz around the logical data warehouse (LDW). In fact, Gartner is hearing LDW mentions as part of data warehouse (DW) inquiries almost 20% of the time and considers it a "megatrend." The definition usually includes some use of data virtualization or data federation capabilities to complement
