Articles with tag like: data enrichment

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Uncapped, Salt Edge partner to accelerate eligibility checks for companies' funding

News | Online & Mobile Banking | 13 Oct 2020

Revenue-based finance provider Uncapped has partnered with open banking solutions provider Salt Edge to accelerate the funding process for companies.

Uncapped, Salt Edge, eligibility check, funding, Open Banking, revenue based finance, entrepreneurs, partner program, financial resources, banks, data aggregation, automatization, ecommerce, SaaS, direct to consumer, gaming, app development, data enrichment

Harnessing the power of Open Banking and Open Finance – exclusive interview with Moneyhub

Interviews | Payments General | 06 Aug 2020

Sam Seaton, Moneyhub: Open Banking and Open Finance will be transformative to businesses and consumers alike

Sam Seaton, Moneyhub, interview, Open Banking, Open Finance, data, payments, financial wellness, APIs, personal financial management, data aggregation, data enrichment, categorisation, analytics, COVID-19, financial inclusion, account aggregation, money management, account-to-account payments, PISP

Tink technology enables multi-banking for Nordea's Nordic app customers

News | Online & Mobile Banking | 15 May 2020

Tink’s account aggregation, data enrichment and personal financial management technologies have been integrated into Nordea’s mobile banking app to deliver a personalised financial overview for the bank’s customers in Sweden, Norway, Finland and Denmark. 

Tink, multi-banking, Nordea, app, Open Banking, account aggregation, data enrichment, personal financial management, mobile banking

Data enrichment - giving businesses the upper hand against fraud

Voice of the Industry | Expert Opinion | 19 Jun 2019

Bence Jendruszak, Co-founder of SEON gives an overview of data enrichment in the context of fraud prevention to help businesses reduce negative acts

Bence Jendruszak, SEON, fraud prevention, data enrichment, artificial intelligence, SEON Sense Platform, SEON Intelligence Tool, API, data, machine learning