Towards better decision-making.
Can data analyses really improve the results of debt collection? Yes, says Stefan Theuerkauf. With D3, the Head of Data Science provides evidence of this in Germany.
Because we already know how a late payer will react to our work tomorrow, we can provide our customers with better results more quickly.
Preliminary results of D3 have already exceeded expectations. In 2017, the project achieved about ten per cent more payments than ‘Fidibus 2’. ‘Because we already know how a late payer will react to our work tomorrow, we can provide our customers with better results more quickly’, says Mr Theuerkauf. ‘At the same time, we relieve the pressure on consumers. Because we take into account their individual situation, we can keep costs low’.
That is just the beginning. In future, D3 should answer questions such as: Should EOS offer a certain consumer a rebate so that he starts paying? How long should employees wait for a response before initiating further measures? Mr Theuerkauf promises: ‘With today’s functions of D3 we are far from exhausting all the possibilities of digital debt collection’.