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EMC-data-analysis-life-cycle.md

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EMC's data analysis life cycle

EMC Corporation's data analytics life cycle is cyclical with six steps:

Discovery

Pre-processing data

Model planning

Model building

Communicate results

Operationalize

EMC Corporation is now Dell EMC. This model, created by David Dietrich, reflects the cyclical nature of real-world projects. The phases aren’t static milestones; each step connects and leads to the next, and eventually repeats. Key questions help analysts test whether they have accomplished enough to move forward and ensure that teams have spent enough time on each of the phases and don’t start modeling before the data is ready. It is a little different from the data analysis life cycle this program is based on, but it has some core ideas in common: the first phase is interested in discovering and asking questions; data has to be prepared before it can be analyzed and used; and then findings should be shared and acted on.

For more information, refer to this e-book, Data Science & Big Data Analytics. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183686