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Viewing posts tagged with “Data modelling”. View all posts.
Why bespoke funding needs a custom-built credit model
The ability to assess credit risk is fundamental for all lenders. It is an intricate mix of art and science, whereby each lender has its own view when determining their appetite to lend and at what price. While there are some commonalities between each lender’s credit risk models, what is deemed a great business by one may appear less attractive to another.
Fintech business finance is not just about data and technology
As a leading alternative finance lender in the fintech space ThinCats has built a regional network of experts based across the UK. Why? Isn’t the whole point about fintech to digitise and automate?
PRISM Prospect – Testing the trends
In 2018, we launched PRISM Prospect, our predictive data model based on analysis of hundreds of thousands of businesses over 25 years. PRISM Prospect identifies businesses likely o have a funding need over the next 12 months. The model segments UK SMEs into five propensity categories from very likely to unlikely.
Introducing our Propensity and Risk Model (PRISM)
Data science and analytics is embedded deep within ThinCats’ business principles. It is the company’s aim, to develop some of the industry's most predictive models; to identify and fund the underserved companies that ultimately drive our economy.
The rise of the machines v the human touch
Amid current fascination with driverless cars, it’s worth considering how far we are from a driverless credit process, as it were – what do algorithms and AI have to offer, and what still requires human consideration?
