Sentence examples for data for credit from inspiring English sources

For now, at least, most of Lenddo's borrowers appear only too happy to swap their personal data for credit.

RAGE Frameworks automates the extraction of data for credit and wealth management, and can create automated compliance reports on the process.

The company says it plans to launch a new product in mainland China later this year that will use big data for credit risk modeling, as well as establish strategic partnerships with mobile, e-commerce, and financial companies.

FireEye's incident response arm Mandiant said the hacker used the server vulnerability to upload a tool, which it calls FIREALARM, to sift through server log data for credit card data, while another piece of malware it's calling SPOTLIGHT to intercept credit card data from unencrypted network traffic.

Lenddo uses online social network data for credit risk assessment.

In addition, a digital payments history provides new data for credit underwriting of small loans and digital payments make micro-leasing businesses that need to collect a huge number of tiny transactions viable - which would be prohibitively expensive in a cash-based economy.

That touched off fears that computer-skilled criminals could use the data for credit-card fraud and other forms of identity theft.

As Justice Coats said, "Because I consider the defendant's deliberate misrepresentation of the single most unique and important piece of identifying data for credit-transaction purposes to be precisely the kind of conduct meant to be proscribed as criminal by this statute".

First, the data preparation process, such as data collection, variable selection, and data cleaning for credit scoring prediction can help reduce noise levels and further enhance the evaluation accuracy of credit risk.

By identifying how signaling and search costs are reduced by big data analytics for credit risk management of P2P lending, we discuss how information asymmetry is reduced in the big data era.

It analyzes data fields for credit card issuers, banks, automobile makers, telecommunications companies and retailers.