DIGITAL BANKING
REST ( Representational State Transfer ) architectural style . Key practices include : ensuring safety through rate-limiting , comprehensive logging and exposure of capabilities to developers .
Data analytics for customer insights Data analytics is a powerful tool for neobanks to enhance customer insights and drive business decisions . Lucian Daia explains that neobanks use data analytics and machine learning services to efficiently analyse and store data , quickly reacting to new data points to ensure service relevance . Neobanks analyse transaction data to offer personalised financial advice and products , using predictive analytics to optimise operations and marketing strategies .
Neobanks use data analytics to understand customer priorities , leading to tailored features like savings boosts and spending insights . This data-driven approach allows neobanks to offer highly personalised services that meet the specific needs and preferences of their customers .
Laurent says : “ Many of our customers are SMEs who don ’ t have the resources of larger organisations and can find tasks such as maintaining a positive cash flow challenging .
“ By offering customers a full view of their treasury , SMEs can make better -informed decisions with a more in-depth understanding of their business .
“ Through tailored data and analytics from trading history , payments and cash flow , finance teams can make smarter
fintechmagazine . com 77