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Big data pervades and crosses organizations and domains, posing multiple challenges, yet these challenges are dwarfed by the opportunities and issues posed by big data analytics (BDA).
For example, do the current U.S. policy framework and privacy proposals for protecting consumer privacy and government use of data adequately address issues raised by big data analytics?
How can we quantitatively judge whether the search cost is reduced by big data analytics?
How can we quantitatively judge whether the signaling cost is reduced by big data analytics?
About 2 points of churn could be improved technically by big data analytics alone.
Many enterprises are stopping to WAIT rather than fully applying the strategic direction offered by big data analytics.
Contrary to the common defense trotted out by technocrats, the judgments produced by the algorithms of big data analytics are not objective arbiters of discretion and punishment.
To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of big data analytics.
Fig. 12 Type of big data analytics by year.
For HiddenLevers this was the growth of big data analytics, stress-testing by the Federal Reserve, and images as communication - visually representing market trends.
As a limitation with respect to business application, this study does not provide an implementation road map for big data analytics, but high-level references regarding individuals' perception and organizational learning to guide for data projects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com