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Why Building A Distributed Data Supply Chain Is More Important Than Big Data

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It is time to stop the stampede to create capacity to analyze big data and instead pursue a more balanced approach that focuses on finding more data sets and understanding how to use them to improve your business.

The goal should not be to create one big factory that can handle any data set, no matter how big. Instead, we should be seeking to create an extended supply chain that accepts data from a wide variety of sources, both internal and external, processes that data in various nodes of the supply chain, passing data where it is needed, transforming it as it flows, storing key signals and events in central repositories, triggering action immediately when possible, and adding data to a queue for deeper analysis. The era of the massive data warehouse is coming to an end. The era of a distributed data supply chain is just beginning...Read more on Forbes

Last modified on Friday, 28 June 2013 07:43

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