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Phil Simon 1
Big data and the project mentality

Is big data becoming too big to ignore? An increasing number of organizations seem to think so. As Matt Asay on ReadWriteWeb writes: According to a recent Gartner report, 64% of enterprises surveyed indicate that they're deploying or planning Big Data projects (emphasis mine). Yet even more acknowledge that they

Jim Harris 0
The antimatters of MDM (part 4)

In physics, antimatter has the same mass, but opposite charge, of matter. Collisions between matter and antimatter lead to the annihilation of both, the end result of which is a release of energy available to do work. In this blog series, I will use antimatter as a metaphor for a

David Loshin 0
Managing customer attribution and classification data

In my last post, I suggested that there is a difference between data attributes used for unique identification and those used for attribution to facilitate customer segmentation and classification. An example of some attributes used for segmentation are those associated with location, such as home address or package delivery address.

Phil Simon 0
Big data and big money

Early in my career, I spent a great deal of time looking at and analyzing employee compensation data. Among my early discoveries: even the secretaries in Hawaii make a great deal of money. (The cost of living is quite high there, I'm told.) While I've since moved on to other

Jim Harris 3
The antimatters of MDM (part 3)

In physics, antimatter has the same mass, but opposite charge, of matter. Collisions between matter and antimatter lead to the annihilation of both, the end result of which is a release of energy available to do work. In this blog series, I will use antimatter as a metaphor for a

Dylan Jones 0
Adopting a missing dimension of root-cause analysis

Root-cause analysis is a core technique of all data quality improvement initiatives. You can’t improve a situation unless you know what is causing it to happen in the first place. There are many different techniques for root-cause analysis. Recently I discussed the 5 Why’s technique and how to improve it

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