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Analise Polsky 0
Demystifying data stewardship

Data stewardship is one of the toughest components of data governance to get right. What is a data steward? What is it that stewards really do? What makes someone a good data steward? When these questions go unanswered, the result is often disenchantment with data stewardship. To help you keep

David Loshin 0
Extending the utility of entity resolution

If you've been following this thread of posts on entity resolution, you'll recall that we have differentiated between the full integration of entity resolution within a master data management system from the other (perhaps operational) uses that do not require a master data index. While the examples we've looked at

Dylan Jones 0
Common tactics for kickstarting data governance

One of the benefits of running an online data quality and data governance community is that over the course of many interviews, you start to see common threads and patterns emerging in the way practitioners create success in their data-driven programs. Data governance is a relatively new discipline, so it’s

Charlotte Crain 0
The traditional data warehouse and Hadoop

Data warehouse (DWH) environments have typically been the standard when it comes to supporting analytical environments. There can be many systems supporting a particular modeling or analytical group, and because these groups have varying requirements for data, the replicated data is maintained because the transition to new storage and computing

Phil Simon 2
Kodak and the provincial data mind-set

Few companies had histories as storied as Eastman Kodak. Although the company developed the first digital camera in 1975, "the product was dropped for fear it would threaten Kodak's photographic film business." [Wikipedia] Well, we all know how that turned out. In September, the company emerged from bankruptcy, but its future is anything

Jim Harris 0
A cold contemplation of data quality

I have previously blogged about sneezing to unleash the data quality ideavirus, but in this post I have a different kind of sneezing in mind and, unfortunately, in nose. The common cold is so-called because it’s the most common human infectious disease. Despite the apparent irony of my traditional spring and summer

David Loshin 1
Behavior architecture

In the past few weeks I have presented training sessions on data governance, master data management, data quality and analytics at three different venues. At each one of these events, during one of the breaks a variety of people in my course noted that the technical concepts of implementing programs

Phil Simon 0
Rafael Nadal and interactive dataviz

Rafael Nadal is nothing less than a freak of nature on the tennis court. One oft-cited stat among tennis aficionados: Nadal routinely hits the ball at 5,000 revolutions per minute. By way of contrast, Roger Federer's strokes come in at 3,200 RPM. Put differently, "Rafa" hits the ball with 50 percent more

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