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When it comes to using alternative data in credit risk assessments, the field has really opened up over the last few years. Alternative data is a hot topic, in part because of the data explosion of the last few years, and in part because of the drive in lending for financial inclusion. Here is useful information on how to assess alternative data and combine it with so-called traditional data to improve credit risk models.
The juxtaposition of Sections 1692e and 1692g continues to be a battle ground for the consumer bar and collection industry. Section 1692e prohibits false, deceptive or misleading representations in connection with the collection of a debt. Section 1692g(a) requires that within five days of initial communication, the debt collector provide the consumer with a written notice which contains five pieces of information: (a) the amount of the debt; (b) the name of the creditor to whom the debt is owed
Simplicity has teamed up with LocateSmarter, a premier data provider, to automate the skip tracing process in Simplicity at a reduced cost for all Simplicity clients. This means you save time and money ! The integration allows you to easily mark accounts individually or in bulk that need to be skipped, have them skipped the same day, and then have the results automatically updated and applied to your Simplicity accounts.
Simplicity has teamed up with LocateSmarter, a premier data provider, to automate the skip tracing process in Simplicity at a reduced cost for all Simplicity clients. This means you save time and money ! The integration allows you to easily mark accounts individually or in bulk that need to be skipped, have them skipped the same day, and then have the results automatically updated and applied to your Simplicity accounts.
AI is reshaping industries, yet finance remains one of the slowest adopters. Concerns over compliance, legacy systems, and data silos have made finance teams hesitant to embrace AI-driven transformation. But delaying adoption isn’t just about efficiency—it’s about staying competitive in a rapidly evolving landscape. How can finance leaders overcome these challenges and start leveraging AI effectively?
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