California Financing Law | The Department of Financial Protection and Innovation

Responsible Small Dollar Loans Pilot Program Senate Bill 318 (Chap. 467, Stats. 2013) was signed into law on October 1, 2013 and is operative January 1, 2014. The bill created the Pilot Program for Increased Access to Responsible Small Dollar Loans (RSDL) to increase the availability of responsible small dollar […]

Responsible Small Dollar Loans Pilot Program

Senate Bill 318 (Chap. 467, Stats. 2013) was signed into law on October 1, 2013 and is operative January 1, 2014. The bill created the Pilot Program for Increased Access to Responsible Small Dollar Loans (RSDL) to increase the availability of responsible small dollar installment loans of at least $300 but less than $2,500. Finance lenders who are licensed underthe CFLL and approved by the Commissioner of the Department of Financial Protection and Innovation (Commissioner) to participate in the program may charge specified alternative interest rates and charges, including an administrative fee and delinquency fees, on loans of at least $300 but less than $2,500, subject to certain requirements. Licensees participating in the program are also permitted to use the services of a finder as defined in Section 22371 of the Financial Code.

Licensees under the former pilot program for affordable credit-building opportunities:

Effective January 1, 2014, Senate Bill 318 abolished the former Pilot Program for Affordable Credit-Building Opportunities (Senate Bill 1146 – Chap. 640, Stats. 2010). Licensees approved to participate under the former pilot program are transferred to and approved to participate in the Pilot Program for Increased Access to Responsible Small Dollar Loans without filing the application.

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Data classification (business intelligence) - Wikipedia

In business intelligence, data classification has close ties to data clustering, but where data clustering is descriptive, data classification is predictive.[1][2] In essence data classification consists of using variables with known values to predict the unknown or future values of other variables. It can be used in e.g. direct marketing, […]