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We Need Data Democracy

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Data scientist: the sexiest job of the 21st century. But do we really need a new army of data scientists? Is there an alternative? There might just be -- and it's called data democracy.

What is data democracy?

Data democracy allows all people to have access to all data insight. In an enterprise, data democracy is about enabling knowledge workers to share insights. To avoid the construction of data silos. To democratize tools that enable each co-worker to become a data scientist without needing a PhD in statistics, mathematics, etc. Visual tools that allow “Excel-users” to use Neural Networks, Support Vector Machines, Random Forests, etc. to make predictions, to classify or cluster data, etc. But without the need to understand the underlying computer learning algorithms into great detail. A sort of corporate RapidMiner that scales.

At the same time we also need better visualization tools. Everybody should be able to createinfographics easily. Tools that allow ordinary people to create stunning data visualizations that go beyond the boring reports.

Finally, we need better tools to find and share data insights. We need a “Databook”. A Facebook to easily find the data insight you need. A tool that allows you to distribute your predictions about next quarter’s sales and to compare them with the predictions of others.

In summary, we need the data scientists of this world to focus on making access to data insight available to every knowledge worker. Simplify instead of algorithmify! Enable everybody to be a data scientist

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Published at DZone with permission of Maarten Ectors, DZone MVB. See the original article here.

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