We recently analysed insolvency rates across more than 400,000 mid-sized SMEs as part of assessing the impact of the Covid pandemic on UK businesses. Read our full report “An analysis of UK mid-sized SMEs : Where next for insolvency rates?” to see which sectors are more resilient than others and the early warning signs we will be looking out for to gauge the speed and scale of any future rises in insolvency rates.
Lenders having access to important borrower data can improve the service they provide in numerous ways, from quicker credit decision making to reducing the ongoing administrative burden for their clients. We look at some of the improvements we made in 2020 and plans for the future.
Home to the most mid-sized businesses outside London, see how South East businesses compare to the rest of the UK and discover which towns and sectors in the South East are performing best.
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?
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.
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.
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.