ITWeb sat down with Darren Turnbull, founder and CEO of MoData, to discuss what organisations need in a transaction processing system, what they should avoid, and how TANGO provides a single solution that meets all their needs.
CFOs need to be able to reconcile data faster, to produce monthly, quarterly or annual reports with confidence that the data is correct, to reduce write-offs and potential fraud, to ensure timeous financial closures, while at the same time continuously innovating and creating efficiencies that help ensure their team’s success.”
So says Darren Turnbull, Chief Executive Officer of financial services solutions specialist MoData.
In increasingly complex environments, manual financial reconciliations have become more time-consuming and labour-intensive. Machine learning-enabled automated account reconciliation overcomes these challenges, saving CFOs time, increasing efficiency and improving accuracy for faster reporting.
Fraudsters have stepped up their onslaught on individual banking customers, using phishing, smishing, threats of violence and traditional con artistry to steal their money. However, traditional financial services security and anti-fraud systems have limited impact when a customer authorises the transfer of all their savings to a criminal account.
MoData, a leading provider of payment solutions, has been appointed as Lusis Payments’ Africa partner to bring the TANGO payment platform to Africa.
Twenty-five leading international banks and BankservAfrica have recently migrated off their legacy transaction switches onto the advanced and trusted TANGO payment platform. TANGO is built on a highly performing micro-services architecture providing agile delivery to meet continual and fast-changing business requirements.
MoData has announced a strategic partnership with Azentio to offer the cutting-edge automated money laundering protection solution, AMLOCK, to its clients across Africa and the Middle East
MoData is driving an industry-first collaboration that enables regulated institutions to securely share FRAML data with each other using blockchain, confidential computing and artificial intelligence.