Fraud prevention on financial transactions such as payments and lending

SkinBD is able to integrate your current BPM solution to multiple internal and external data sources. By accessing these sources, credit analysis procedures become more efficient and accurate, while risk associated with lack of sufficient data is decreased. Sales cycles are also accelerated through the automatic enrichment and validation of customer records.

Both companies and consumers have faced challenges with respect to the approval of increased or extended credit lines. This is often due to incorrect risk classification via manual efforts, leading to a credit-crunch scenario for customers who are able to pay on time, or the issuance of more credit to those who do not have the ability to pay.

Credit Approval

A fully enriched database is critical to the accuracy profile evaluations, and credit default risk. This ensures more revenue opportunities and continued suitable growth of the company’s loan portfolio.

Loss mitigation

SkinBD supports BackOffice systems by adding greater precision and assertiveness to the credit approval process. By eliminating conventional processes, evaluation times are reduced, as well as operational costs specific to credit recovery.

Try SkinBD now for free and gain immediate access to over 400 sources of information. See first-hand how you can add efficiency and agility to your company’s processes.

Prices and Plans Free Demo

Questions? Talk to our experts.

Know your customer
SkinBD improves customer communication by providing better business insight and intelligence
Read More
Analyze Big Data
A tool to speed up the review process of Big Data
Read More
Managing and monitoring internal risks has never been easier
Read More
Mailing List Enrichment
Broaden contact channels and knowledge of your target audience
Read More
Credit Limits
Make assertive decisions when reviewing credit limits
Read More
Clustering Customers
Gain competitive advantage by discovering behavioral patterns
Read More
Data Mining
Big Data, the new challenge of modeling
Read More