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A collection of our recent articles, white papers, webinars, reports and videos.

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TAS @ Sibos 2022

10 - 13 October | RAI, Amsterdam

Sibos is back in-person and TAS is again among the official exhibitors. We can’t wait to meet you in Amsterdam  where SWIFT will host a full conference programme and exhibition, along with a wide range of networking events. The agenda will feature business leaders and topic experts from across the financial community and beyond, discussing the most impactful trends in technology, regulation, risks and sustainability. If you can’t make it in person, join Sibos virtually by connecting to the digital conference experience that will extend Sibos to delegates around the world.

Stop by our booth D76 to share insights on the latest trends on digital payments, liquidity management, payment schemes connectivity, open banking and much more.

Resources
card & digital payments
open banking
PSD2

How PSPs are navigating change in a challenging payments landscape

TAS conducted a survey, in partnership with Bobsguide, to learn how PSPs, including Credit Institutions and other Payment organisations around the world, are reacting to the changes and challenges in today’s emerging payments landscape.

The report highlights the themes having a big impact on the payments industry right now: instant payments, ISO 20022, and liquidity management, and contains insights into global technology investment strategies, cloud adoption trends, the main challenges currently seen by the payments community and more.

Download Report

Resources
card & digital payments
open banking
PSD2

TAS Spotlight Open Banking

In this video Marco Pozzo, Senior Business Development Global Payments of TAS Group, shares his point of view regarding the changing scenarios and the arising challenges in the Open Banking era…

Resources
card & digital payments
open banking
PSD2

Embedded Finance and Payments Convergence: not to be underestimated by PSPs

Retail payments have historically belonged to one of two distinct groups: those that are card-based…

Resources
open banking
PSD2

Nexi: here’s how we overcame the babel of account statement descriptions

Thanks to the Harmonizer Hub implemented by Mantica (TAS Group), Nexi PayTech has managed to harmonize into a single taxonomy all descriptions used by banks. A goal achieved through the use of Intelligent text mining and Machine learning technologies integrated in Nexi’s Active Gateway. Gianluca Finistauri of Nexi and Amedeo Borin of Mantica explain more about the initiative.

Wages, remunerations, emoluments: three different terminologies for the same identical statement. This is just one example of the wide variety of descriptions that banks use to report the same customer account transaction. An array of definitions that becomes a serious problem in the era of open banking and PSD2. In particular, but not only, for the Account Aggregation and Personal Financial Management (PFM) services, which allow the customer, with his consent, to have a clear vision of his finances at multiple banks, categorizing incomes and expenses with unique accounting definitions.

Nexi has managed to overcome this ambiguity by leveraging Intelligent machine learning and Text mining technologies that are at the basis of the Harmonizer Hub solution created by Mantica, TAS Group’s subsidiary specialized in these technologies.

Let’s unveil some key takeaways arising from the interview with 2 main actors of this successful project: Gianluca Finistauri, Head of Digital Corporate Banking of Nexi and Amedeo Borin, CEO of Mantica-TAS Group.

Reducing the complexity

“Active aggregation services are meant to descale complexity”, explains Finistauri. “But today it is still very hard to interface multiple banks to retrieve customer data, despite the PSD2 mandate acting as a fundamental aspect of open banking. In addition to carrying out the connection to all customer’s banks in a transparent way, Nexi has decided to take a step further and reduce the complexity of interpreting the contents. In fact, every single bank uses descriptions decided independently, as there is no standard in the banking industry for it, making it difficult to interpret them and, consequently, to be able to offer a clear view to the end customer. “We needed an engine capable of interpreting and ordering the collected descriptions, not really those of the large banking groups, with which we already collaborate through the Italian national corporate banking scheme CBI, but particularly those of the other 700 medium-small banks operating in Italy”, explains Finistauri.

This is where Mantica comes into play, offering a solution that is currently unique on the market, capable of bringing the babel of bank dialects back to a shared taxonomy. "By combining Intelligent text mining technology with Machine Learning algorithms, we were able to create an engine, the Harmonizer Hub, which dynamically analyses the enormous daily payment traffic of all banks, reconciling every single entry with a standard dictionary, and learning and improving performance day after day,” says Borin. “An absolutely not simple activity - he continues - because it involves interpreting natural language and analysing and comparing huge amounts of statements. And, moreover, because we had to respond to a new need driven by the PSD2 and therefore unprecedented to refer to. We took the challenge seriously, and quickly developed a system capable of giving very reliable answers that have been integrated by Nexi into its active gateway, which is already operational”.

A solution capable of managing millions of pieces of information

“We chose Mantica's solution after a careful software selection, which also involved international suppliers, and after a pilot that proved the excellent functioning of the technology on which Harmonizer Hub is based”, recalls Finistauri. A decision that turned out to be a winning one: “Today a customer of any of our banks - continues Finistauri - who has current accounts with multiple institutions that use different terminologies, can see all his expenses correctly classified. And the system is able to dynamically maintain this functionality updated over time, continuing to map every new description potentially introduced by future regulation, learning from the millions of transactions it analyses every day".

Mapping completed

The Harmonizer Hub is now close to automatically recognizing the totality of bank descriptions. "A great job has been done - Finistauri says satisfied - because at the beginning we were reconciling no more than 20% of the transaction descriptions and already in April we could match about 85% of the terminologies used by banks. Then, week after week, the engine learned to recognize and correctly catalogue more and more descriptions, effectively eliminating the need to intervene manually”.

The customer appreciation in all segments

“As of today, only Nexi offers such a service which is so accurate and continuously updated thanks to machine learning. – proudly underlines Finistauri - The market has immediately perceived the high quality of this new feature and we have received highly positive feedback from both end-customers and third-party operators who offer their PFM service based on our data aggregation. The latter type of customers need to have data already sorted and classified to better carry out their own analyses deep diving into the rest of the details of the statements".

But a great deal of attention, perhaps even exceeding expectations, came from our corporate customer base, which quickly began requesting it from their banks. “Little is said about it - explains Finistauri - but the PSD2 is also very important for corporates, who are natively multi-bank and have to manage the wide variance of the descriptions from bank to bank. With the Harmonizer Hub we have the ability to connect and harmonize corporate accounts, for example by managing collections through PISPs or feeding corporate treasury solutions for intraday balances. A more sophisticated value proposition compared to the one offered to retail customers, but one that we are able to provide in an equally reliable way".

Another aspect appreciated by Nexi is the ease with which the new service can be implemented by banks. “From the moment the request arrives - says Finistauri – our banks can activate it in about 4 weeks to their end customers. And this allows us to have a very good time-to-market ".

Ready to learn other languages

The engine created by Mantica is potentially capable of interpreting bank descriptions in other languages as well. Currently it is operational to manage Italian, but for Finistauri the opening to English, French, German etc. represents an obvious evolution considering Nexi's new international footprint deriving from the acquisitions of Nets and SIA which will lead the PayTech to interconnect with open banking gateways in other countries already by end of this year.

“The system is solid and the textual analysis and machine learning mechanisms have now been fully tested, so it won't be a problem to expand the linguistic base by retracing the steps taken to implement Italian,” confirms Borin.

Harmonizer Hub, not just for bank descriptions

The versatility of the engine made by Mantica allows its use also in other fields. Nexi is also using it to make some processes more efficient and faster, for example in order to understand whether a balance presented by the customer by a bank is the current Account Balance or the Available Balance. Furthermore, machine learning engines are very useful for customer profiling and to promote personalized offers, obviously always requiring the conscious consent of the customer. “We are starting to work in this direction because the demand from banks to use it as a tool to improve marketing campaigns is very strong”, confirms Finistauri. But the normalization of bank statements and payments is also important for credit scoring and behavioural analysis, helping to improve fraud detection and fraud management, because it makes it faster to intercept and analyze suspicious transactions.

Author: Flavio Padovan– Bancaforte (Italian version)

SourceNexi: così abbiamo superato la babele delle causali bancarie 

News
open banking
PSD2

Nexi: here’s how we overcame the babel of account statement descriptions

Thanks to the Harmonizer Hub implemented by Mantica (TAS Group), Nexi PayTech has managed to harmonize into a single taxonomy all descriptions used by banks. A goal achieved through the use of Intelligent text mining and Machine learning technologies integrated in Nexi’s Active Gateway. Gianluca Finistauri of Nexi and Amedeo Borin of Mantica explain more about the initiative.

Gianluca Finistauri of Nexi and Amedeo Borin of Mantica explain more about the initiative.

Wages, remunerations, emoluments: three different terminologies for the same identical statement. This is just one example of the wide variety of descriptions that banks use to report the same customer account transaction. An array of definitions that becomes a serious problem in the era of open banking and PSD2. In particular, but not only, for the Account Aggregation and Personal Financial Management (PFM) services, which allow the customer, with his consent, to have a clear vision of his finances at multiple banks, categorizing incomes and expenses with unique accounting definitions.

Nexi has managed to overcome this ambiguity by leveraging Intelligent machine learning and Text mining technologies that are at the basis of the Harmonizer Hub solution created by Mantica, TAS Group’s subsidiary specialized in these technologies.

Let’s unveil some key takeaways arising from the interview with 2 main actors of this successful project: Gianluca Finistauri, Head of Digital Corporate Banking of Nexi and Amedeo Borin, CEO of Mantica-TAS Group.

Reducing the complexity

“Active aggregation services are meant to descale complexity”, explains Finistauri. “But today it is still very hard to interface multiple banks to retrieve customer data, despite the PSD2 mandate acting as a fundamental aspect of open banking. In addition to carrying out the connection to all customer’s banks in a transparent way, Nexi has decided to take a step further and reduce the complexity of interpreting the contents. In fact, every single bank uses descriptions decided independently, as there is no standard in the banking industry for it, making it difficult to interpret them and, consequently, to be able to offer a clear view to the end customer. “We needed an engine capable of interpreting and ordering the collected descriptions, not really those of the large banking groups, with which we already collaborate through the Italian national corporate banking scheme CBI, but particularly those of the other 700 medium-small banks operating in Italy”, explains Finistauri.

This is where Mantica comes into play, offering a solution that is currently unique on the market, capable of bringing the babel of bank dialects back to a shared taxonomy. "By combining Intelligent text mining technology with Machine Learning algorithms, we were able to create an engine, the Harmonizer Hub, which dynamically analyses the enormous daily payment traffic of all banks, reconciling every single entry with a standard dictionary, and learning and improving performance day after day,” says Borin. “An absolutely not simple activity - he continues - because it involves interpreting natural language and analysing and comparing huge amounts of statements. And, moreover, because we had to respond to a new need driven by the PSD2 and therefore unprecedented to refer to. We took the challenge seriously, and quickly developed a system capable of giving very reliable answers that have been integrated by Nexi into its active gateway, which is already operational”.

A solution capable of managing millions of pieces of information

“We chose Mantica's solution after a careful software selection, which also involved international suppliers, and after a pilot that proved the excellent functioning of the technology on which Harmonizer Hub is based”, recalls Finistauri. A decision that turned out to be a winning one: “Today a customer of any of our banks - continues Finistauri - who has current accounts with multiple institutions that use different terminologies, can see all his expenses correctly classified. And the system is able to dynamically maintain this functionality updated over time, continuing to map every new description potentially introduced by future regulation, learning from the millions of transactions it analyses every day".

Mapping completed

The Harmonizer Hub is now close to automatically recognizing the totality of bank descriptions. "A great job has been done - Finistauri says satisfied - because at the beginning we were reconciling no more than 20% of the transaction descriptions and already in April we could match about 85% of the terminologies used by banks. Then, week after week, the engine learned to recognize and correctly catalogue more and more descriptions, effectively eliminating the need to intervene manually”.

The customer appreciation in all segments

“As of today, only Nexi offers such a service which is so accurate and continuously updated thanks to machine learning. – proudly underlines Finistauri - The market has immediately perceived the high quality of this new feature and we have received highly positive feedback from both end-customers and third-party operators who offer their PFM service based on our data aggregation. The latter type of customers need to have data already sorted and classified to better carry out their own analyses deep diving into the rest of the details of the statements".

But a great deal of attention, perhaps even exceeding expectations, came from our corporate customer base, which quickly began requesting it from their banks. “Little is said about it - explains Finistauri - but the PSD2 is also very important for corporates, who are natively multi-bank and have to manage the wide variance of the descriptions from bank to bank. With the Harmonizer Hub we have the ability to connect and harmonize corporate accounts, for example by managing collections through PISPs or feeding corporate treasury solutions for intraday balances. A more sophisticated value proposition compared to the one offered to retail customers, but one that we are able to provide in an equally reliable way".

Another aspect appreciated by Nexi is the ease with which the new service can be implemented by banks. “From the moment the request arrives - says Finistauri – our banks can activate it in about 4 weeks to their end customers. And this allows us to have a very good time-to-market ".

Ready to learn other languages

The engine created by Mantica is potentially capable of interpreting bank descriptions in other languages as well. Currently it is operational to manage Italian, but for Finistauri the opening to English, French, German etc. represents an obvious evolution considering Nexi's new international footprint deriving from the acquisitions of Nets and SIA which will lead the PayTech to interconnect with open banking gateways in other countries already by end of this year.

“The system is solid and the textual analysis and machine learning mechanisms have now been fully tested, so it won't be a problem to expand the linguistic base by retracing the steps taken to implement Italian,” confirms Borin.

Harmonizer Hub, not just for bank descriptions

The versatility of the engine made by Mantica allows its use also in other fields. Nexi is also using it to make some processes more efficient and faster, for example in order to understand whether a balance presented by the customer by a bank is the current Account Balance or the Available Balance. Furthermore, machine learning engines are very useful for customer profiling and to promote personalized offers, obviously always requiring the conscious consent of the customer. “We are starting to work in this direction because the demand from banks to use it as a tool to improve marketing campaigns is very strong”, confirms Finistauri. But the normalization of bank statements and payments is also important for credit scoring and behavioural analysis, helping to improve fraud detection and fraud management, because it makes it faster to intercept and analyze suspicious transactions.

Author: Flavio Padovan– Bancaforte (Italian version)

Source: Nexi: così abbiamo superato la babele delle causali bancarie 

News
card & digital payments
digital treasury
open banking

PSPs told us how they are dealing with the key changes and challenges being thrust upon them today

We recently surveyed Payment Service Providers from around the world about how they are dealing with today’s volatile payments landscape.

We particularly focused on the hot topics: instant payments, ISO 20022, and liquidity management, all of which are heavily impacting the payments industry, and asked PSPs to reveal what they saw as the main challenges experienced today, how they are rising to these challenges including insights into global technology investment strategies and cloud adoption trends among others.

The survey took place against a backdrop of rapid digitalization, where advancements in technology, regulatory overhauls, the introduction of new initiatives and schemes – not to mention the wide-reaching impact of the pandemic – are having a tumultuous effect in the payments industry – perhaps the greatest experienced in the last decade.

Navigating these changes successfully no doubt involves rethinking existing approaches, business models and systems as well as intelligently leveraging on the many innovative technologies available including, in many cases, adopting a cloud-based strategy.

Report- How PSPs are navigating change in a challenging payments landscape

News
open banking
payment networks
PSD2

Request to Pay, TAS reveals the advantages of the new pan-European standard

During TAS Group’s workshop at the recent Payvolution virtual event, Stefano Macchi, Global Payments’ subject matter expert, illustrated the great potential of the new SEPA standard developed by the EPC. R2P, together with instant payments and open banking, enables PSPs to offer a more digital, efficient and end-to-end user experience, irrespective of the target segment: consumer, business customer, merchant or public admin.

While the actual roll-out of the standard has been postponed to March 1 2021, from a technical point of view, everything is ready for the first initiative launched by EBA Clearing, whose testing phase began in July, with 27 partners from the financial world from 11 European countries that have joined the project.

R2P is not an additional payment instrument but a new, all-digital way of requesting a payment for which a payee and a payer electronically exchange structured data through a message workflow, before exchanging money. Being initiated by the creditor, R2P allows for a 100% automatic reconciliation of the subsequent payment, even if done in several instalments and deferred instead of in real time.

On the application platforms and channels of TAS, a series of competitive services for customers on both the beneficiary / payee side and the customer / payer side are created on the basis of calls to the standard R2P infrastructure. These services integrate domestic use cases already implemented in the PayTAS scenarios for B2G / C2G interaction as well as on CBI Globe (the leading Italian Open Banking Ecosystem standard), but are ready for billers, PSPs and clients throughout the entire SEPA area.

 
News
card & digital payments
open banking

Payment Intelligence: a new console for Customer Insight

TAS Group’s Payment Intelligence allows you to generate powerful behavioural and predictive models that support business strategies and decision-making processes, and provide you with a continually updated, 360-degree view of your customers. Thanks to the Behaviour Analytics function, which makes use of leading-edge AI &ML technologies developed by Mantica, Payment Intelligence is able to create tailored behavioural models that enrich Profiling Analysis, Pattern Recognition, Segmentation and Scoring of Big data. The solution seamlessly integrates with TAS Group’s card and digital payments platform, CARD 3.0 IE, fully leveraging both cardholder account and transactional data. Discover more

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