News: Elliot Avison joins TRF News Editorial Board
Dancerace CEO Elliot Avison has accepted an invitation to join other lending and technology leaders and academics on the Editorial Board at TRF News.
Dancerace CEO Elliot Avison has accepted an invitation to join other lending and technology leaders and academics on the Editorial Board at TRF News.
After 18 years at Lenvi (formerly Equiniti Riskfactor), ABL veteran Jon Watts has joined Dancerace to support us in our mission to deliver the complete, connected ABL operating system for commercial lenders.
At Dancerace, we’ve put frictionless data transparency at the centre of our vision for better lending. Here’s how it helps lenders and their funding providers to deal with challenges today and unlock new opportunities for tomorrow.
We've launched our new Learning Management System (LMS) for Dancerace users – an interactive online learning portal to enable banks and lenders to drive maximum value from our software.
Dancerace is one of five technology providers shortlisted to win the global ‘Receivables Technology Solution Provider of the Year’ award at this year’s RFIx Awards, hosted by BCR Publishing. The accolade recognises software providers working to make lenders’ operations more efficient and secure, and to boost borrower experiences.
We’ve partnered with UK publisher Business Money to sponsor their 2022 report on the UK receivables finance sector – an indispensable annual guide to the state of the industry.
Dancerace CEO Elliot Avison will be appearing at BCR Publishing’s 23rd annual Receivables Finance International Convention in London on 23-24 May 2023.
“You focus on the lending; we’ll look after the technology.”
This week’s WOA community convention in Mainz, Germany was a wonderful chance to spend time with the global receivables community.
Over the past twelve months, many of our lenders have asked how they can access and drive more value from the data in their Dancerace system, and how to simplify their reporting processes. Some have considered hiring a data scientist to do just that. We suggest using data warehousing or our API instead.