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Even when Data Analytics fails, it succeeds

When it comes to Data Analytics, failure is a very important part of the innovation process. A part of the data scientist’s job is trial-and-error and assumptions to vet data for new insights. Pushing the analytical process to uncover new uses of data and new ways of applying analytics necessarily involves risk and failure. Leading websites embrace this by testing hundreds or thousands of both minor and large scale changes to their site daily. Nothing is rolled out broadly on a major website today unless it has gone through rigorous testing. An organization based on rapid experimentation, exploration of new ideas and educated in doing analytics right is one destined to succeed. Read more at: 

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Monday, 20 January 2020
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