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"But analytics lends itself to cloud computing.
That's why analytics lends itself to this kind of model".
Several genes found in this study have already been implicated in AD, thus lending confidence to the analytic procedure and results.
Compared with membership in the low-dose supplement users class, membership in the other classes was strongly predicted by known correlates of CAM use, lending credibility to our analytic approach.
By identifying that signaling and search costs are reduced by the application of big data analytics in P2P lending, we show how big data can reduce information asymmetry in the lending industry.
These studies highlight an increasing academic interest in discussing big data analytics in P2P lending.
Based on the discussion in this study, it is clear that introducing big data analytics to the lending business has caused tremendous business and economic impacts.
This application of big data analytics in P2P lending would greatly reduce signaling and search costs, thus reducing information asymmetry between borrowers and lenders.
Big data analytics make it possible for P2P lending platforms to better evaluate borrowers and make quick lending decisions.
"Overall, the volume of SBA lending has fallen significantly," said Matthew Anderson of Foresight Analytics.
How can big data analytics maximize social welfare in the lending business?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com