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Berinato means that when dealing with larger and more complex data, the work becomes more open-ended because there is less prior knowledge about the data. This requires a more flexible approach to discover patterns, trends, and anomalies.
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Visual discovery is the most complicated quadrant because it consists of two categories: testing a hypothesis and mining for patterns, trends and anomalies. Berinato says: "The former is focused, whereas the latter is more flexible. The bigger and more complex the data, and the less you know going in, the more open-ended the work."
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