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Fraudulent behavior can be detected by using clickstream analysis and data mining.
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Collecting and storing terabytes of data without analyzing it within a short period is of no significance.
Bigger data can answer all business questions if the data can be analyzed in full context and within a short period.
Grid computing, in-database processing and in-memory analytics are examples of the game-changing technologies that extract true value from big data.
We now have the ability to apply analytics on the front end to determine which data should be included in analytical process and which data can be given up.
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