BSL Fintech special / english-french
Robo-AdvisorMobile payment execution
Blockchain APIs & “open banking”
Crypto-monney
Investing
Blockchain
Big DataCrypto-monney
Personal Finance Management
Investing TradingCrowd Lending
Summary
Introduction	 8 / 72
Christian Marchand, Consultant FINTECH
Interview	 10 / 74
Paolo Buzzi, CTO and co-founder of Swissquote
Artificial intelligence	 14 / 78
Marco Abele, Head of Platform Management & Digitalization at Credit Suisse in Switzerland
Big Data / Smart Data	 17 / 81
Philippe Henderickx, Head of Strategic Sales Banking at Swisscom
Open banks and APIs	 20 / 84
Ben Robinson and Aaron Phethean are respectively head of strategy and marketing,
and head of the MarketPlace at Temenos
Community Management	 24 / 88
Olivier Collombin, Founder of E-merging, the social network for private wealth professionals
and co-founder of Money ID
Blockchain	 27 / 91
Daniel Gasteiger, CoFounder of Nexussquared – Accelerating Blockchain Ideas
Personal Financial Management	 30 / 94
David Hamilton, CEO at eWise
Crypto-money	 34 / 98
Alexis Roussel, co-Founder Bity
Incubator & Vision	 38 / 102
Markus Graf, Head Innovation Management DGI at SIX Group Services AG
Crowdfunding	 41 / 105
Vincent Pignon, President of Swiss Crowdfunding Association
Contactless	 46 / 110
Sebastien Piolat, Head of Business Development, SMARTLINK
Digital Vault	 51 / 115
Dr. Tobias Christen, CEO at DSwiss AG
BSL Fintech special / english-french
BSL Fintech special / english-french
Robo-AdvisorMobile payment execution
Blockchain APIs & “open banking”
Crypto-monney
Investing
Blockchain
Big DataCrypto-monney
Personal Finance Management
Investing TradingCrowd Lending
32 / 96
one-stop-application makes life easier and their spending
more controllable. It is no wonder that many people have
difficulties managing their finances given the high number
of financial relationships an individual has: credit cards,
savings accounts, current accounts, investments accounts,
brokerage accounts, insurance policies, pension plans.
Data privacy and security are key
Banks clearly understand the customers’ demand for sim-
plicity, aggregating all of their financial accounts in one
place and delivering easy-to-use digital Money Manage-
ment tools. So in a world where personal data security is
increasingly under threat, how do financial institutions of-
fer their customers comprehensive Account Aggregation
and Personal Financial Management tools without becom-
ing the custodian of customer data and therefore a larger
target for hackers and increasing the risk of data loss?
The answer to their concerns is to understand the ar-
chitecture of data aggregation models and opt for a cli-
ent-side aggregation model, where all the data remains
private to the customer.
While on the surface, most Account Aggregation solutions
look the same, lurking below are substantial differences
in how data is accessed and aggregated for the customer.
In broad terms there are two types of Account Aggrega-
tion; “Server-Side” where customer accounts and infor-
mation is aggregated by a server owned and managed
by a third-party service provider, and “Client-Side” where
customer accounts and information is aggregated on the
customers chosen device (their mobile, tablet or PC).
In a “Server-Side” model, customers, having accepted
Terms & Conditions that provide “Power of attorney” to
the service provider, disclose their online credentials to
the service provider. These credentials are stored on the
server and are used by the provider to perform aggrega-
tion. Aggregated data is also stored on the server for pro-
cessing and ultimately access by the customer. The inher-
ent risks associated with disclosure of online credentials
to a third-party and the swelling amount of personal finan-
cial information stored by the provider, even if encrypted,
are obvious and significant downsides to this approach.
Conversely, the “Client-Side” model, invented and pat-
ented by eWise in 2000, never requires the customer to
disclose their online credentials to a third-party and all
aggregation is performed on the customer’s chosen de-
vice. All data and information is encrypted and stored on
the customer’s device in a Personal Data Vault, where the
customer can choose to share their data with the service
provider or any third-party through permission manage-
ment (privacy controls). In line with security best practice,
encryption keys are not stored on the device but rather on
“zero-knowledge” servers.
In the client-side model, a financial services firm or Ac-
count Aggregation service provider never becomes the
custodian of the customer’s online credentials. Through
permissions granted by the customer, information they
hold with external financial services providers maybe
shared with the service provider from the Personal Data
Vault. This approach not only offers customers greater
control and choice over the personal data, it eliminates
the compliance, legal and security risks of online creden-
tial custody for the service provider.
Personal data sharing through explicit customer’s per-
mission is the only way to keep their trust
An effect of implicit credential sharing through the serv-
er-side aggregation model means that the service provider
has access to user’s financial data and can then anonymise
and sell that data. In a quest for better opportunities to
cross-sell and increase revenue, sensitive and personal data
has become paramount. There is a very high demand from
companies and financial institutions to acquire personal
data. But taking care of user’s privacy also takes care of the
bank’s objective. The goal of getting more insights in order to
achieve better cross-selling opportunities could be achieved
in a private and secure way that is mutually beneficial. With
client-side aggregation, customers take control over their
data and benefit from choosing who they want to share their
data with through a granular permission management dash-
board. Customers get control back over their personal data
and the bank is positioned as a trusted partner.
Benefits for banks implementing a Personal Financial
Management solution and added value for customers
Successful PFM implementations involve a shift away
from focus solely on internal products to increasing scope
Robo-AdvisorMobile payment execution
Blockchain APIs & “open banking”
Crypto-monney
Investing
Blockchain
Big DataCrypto-monney
Personal Finance Management
Investing TradingCrowd Lending
33 / 97
to cover external institution accounts and services in the
financial picture they present to their customer. This cul-
ture shift, the perceived compliance risks, and complexity
of adjusting well established digital channels are causing
financial institutions to be hesitant in adopting and com-
mitting to these solutions.
Questions are being raised such as: What are the benefits
of PFM? What is the Return on Investment? What is the
added value for customers?
There are a significant number of benefits for both cus-
tomers and banks. We can easily highlight three main key
benefits: increased customer loyalty, increased product
penetration per customer and increased digital engage-
ment.
Loyalty is key in obtaining a long-term client base, with
the implementation of PFM and increased engagement,
clients are less likely to switch to other service providers.
A European bank, client of eWise, reduced churn by 50%
with the adaption of PFM. Thereafter, the bank achieved
a 30% increase in balance among users through relevant
cross-selling offers. It was also demonstrated by another
customer that with the right execution and customer ex-
1
Western European weighted average = 0.31 visit per user / day – Cap
Gemini & Efma , 2014 World Retail Banking Report
perience the bank achieved 1.01 e-banking visits per day,
after the first month of launch, which is +225% more en-
gagement than Western European weighted average of
0.31 e-banking visits per day1
.
Enabling clients with tools to be financially savvy has re-
sulted in an increase in loyalty and they become less likely
to change providers. Businesses can benefit from the rich
data collected and created from PFM solutions through
insights gained from data shared by the user. Customers
spending habits allows for a personalised approach to
client relations, increasing cross-sell services tailored to
their needs with direct revenue generation.
The encouragement of using digital money management
tools to achieve goals and improve financial management
can reduce costs in other channels.
Through Personal Financial Management a more hands-
on-approach to financial management and insights not
only gains trust, moreover, a smart approach that will im-
prove the overall services provided by the implementer.

More Related Content

PDF
Fintech - MSME lending score card template for flow based lending
PDF
BSL Fintech special - English/german
PDF
ISGN LoanDynamix Brochure
PDF
Software for Payment Cards: Choosing Wisely
PDF
Chatbots: The New Sales Agent in Insurance Industry
PDF
Blockchain's Impact on Insurance
PPTX
Digitalization of Banking in bangladesh
PDF
FreedomPay_Whitepaper_Solutions_For_Hospitality
Fintech - MSME lending score card template for flow based lending
BSL Fintech special - English/german
ISGN LoanDynamix Brochure
Software for Payment Cards: Choosing Wisely
Chatbots: The New Sales Agent in Insurance Industry
Blockchain's Impact on Insurance
Digitalization of Banking in bangladesh
FreedomPay_Whitepaper_Solutions_For_Hospitality

What's hot (20)

PDF
Blockchain and it’s importance on Insurance Industry
PDF
Cover story
PPTX
Direct Debit Services
PDF
PPTX
Innovations in Banking - Recent Developments
PDF
Powerful Reward Platform
PPTX
Online Payment Services and the Role of Banks
PDF
AI Underwriting Case Study for Life Insurance company
PDF
Durbin + Debit: The Devil\'s in the Details
PDF
Artificial Intelligence in Banking
PPTX
Financial-IT buzzwords and trends 2014
PPTX
Introduction to B2B Electronic Payments
PDF
The Payments Glossary
PDF
Virtual Credit Cards
PPTX
How fraud and chargeback prevention works
PDF
Adoption of Technologies for Claims Management in the Health Insurance Sector.
PDF
CIP scores March 2014 - Creditinfo Georgia
PPTX
How to Start Payment Gateway Business in India
PDF
P2P lending –a “financial intermediary in social democracy” – indian scenario
PDF
Digital bank - database compiled
Blockchain and it’s importance on Insurance Industry
Cover story
Direct Debit Services
Innovations in Banking - Recent Developments
Powerful Reward Platform
Online Payment Services and the Role of Banks
AI Underwriting Case Study for Life Insurance company
Durbin + Debit: The Devil\'s in the Details
Artificial Intelligence in Banking
Financial-IT buzzwords and trends 2014
Introduction to B2B Electronic Payments
The Payments Glossary
Virtual Credit Cards
How fraud and chargeback prevention works
Adoption of Technologies for Claims Management in the Health Insurance Sector.
CIP scores March 2014 - Creditinfo Georgia
How to Start Payment Gateway Business in India
P2P lending –a “financial intermediary in social democracy” – indian scenario
Digital bank - database compiled
Ad

Viewers also liked (11)

PPTX
Mindfulness
PDF
Pechakucha HDOº 2016
PDF
Edital progep 2016_015
PDF
Digital In Banking - Summary Trends - Virginia Bankers Association - March 2015
PPTX
دورة الإعلام الجديد ليوم
PPTX
Producción y aplicaciones de enzimas obtenidas a partir de Trichoderma sp.
PPT
«Развитие творческих способностей детей дошкольного возраста с использование...
PPTX
«Познавательное развитие детей 3-4 лет»
PPTX
Medios de cultivo caseros
PPTX
雲端學校訂餐系統
DOCX
Anato higado
Mindfulness
Pechakucha HDOº 2016
Edital progep 2016_015
Digital In Banking - Summary Trends - Virginia Bankers Association - March 2015
دورة الإعلام الجديد ليوم
Producción y aplicaciones de enzimas obtenidas a partir de Trichoderma sp.
«Развитие творческих способностей детей дошкольного возраста с использование...
«Познавательное развитие детей 3-4 лет»
Medios de cultivo caseros
雲端學校訂餐系統
Anato higado
Ad

Similar to BSL Fintech special / english-french (20)

PDF
ABA Innovation Infographic
PDF
Traditional PFM Is Dead. Welcome to the New World of Digital Money Management
 
PPTX
Foundation Course - Innovation in Financial Services
PDF
Trends in Fintech
PPTX
Trends and practical applications of AI/ML in Fin Tech industry - Milos Kosan...
PDF
PFM Insight Series: Designing PFM tools with the customer in mind
PDF
Artificial Intelligence Trends Shaping the Financial Landscape in 2018 and Be...
PDF
MoneyDesktop Business Case
 
PDF
Mapa research insightseries-pfm-report-brochure-jun14
PDF
Asian Private Banks: How to Embrace Digital Transformation
PDF
The science of client insight: Increase revenue through improved engagement
PPTX
Act, 020212 final
PPTX
Finspiration for 2015 from Market Gravity
PPTX
Introduction To Banking Operations
PDF
Digital and Big data disruption in financial services
PDF
"Risk Management in Open Finance Era" 26-12-2020
PPTX
Use of technologies in the banking sector of Bangladesh
PDF
Leveraging Analytics to Combat Digital Fraud in Financial Organizations
PDF
Mint.com Pre-Launch Pitch Deck
PDF
Top 8 Mobile Finance Trends 2015
 
ABA Innovation Infographic
Traditional PFM Is Dead. Welcome to the New World of Digital Money Management
 
Foundation Course - Innovation in Financial Services
Trends in Fintech
Trends and practical applications of AI/ML in Fin Tech industry - Milos Kosan...
PFM Insight Series: Designing PFM tools with the customer in mind
Artificial Intelligence Trends Shaping the Financial Landscape in 2018 and Be...
MoneyDesktop Business Case
 
Mapa research insightseries-pfm-report-brochure-jun14
Asian Private Banks: How to Embrace Digital Transformation
The science of client insight: Increase revenue through improved engagement
Act, 020212 final
Finspiration for 2015 from Market Gravity
Introduction To Banking Operations
Digital and Big data disruption in financial services
"Risk Management in Open Finance Era" 26-12-2020
Use of technologies in the banking sector of Bangladesh
Leveraging Analytics to Combat Digital Fraud in Financial Organizations
Mint.com Pre-Launch Pitch Deck
Top 8 Mobile Finance Trends 2015
 

Recently uploaded (20)

PDF
SaaS reusability assessment using machine learning techniques
PDF
Human Computer Interaction Miterm Lesson
PDF
NewMind AI Weekly Chronicles – August ’25 Week IV
PDF
Lung cancer patients survival prediction using outlier detection and optimize...
PDF
LMS bot: enhanced learning management systems for improved student learning e...
PDF
CXOs-Are-you-still-doing-manual-DevOps-in-the-age-of-AI.pdf
PDF
The AI Revolution in Customer Service - 2025
PDF
Transform-Your-Supply-Chain-with-AI-Driven-Quality-Engineering.pdf
PDF
Data Virtualization in Action: Scaling APIs and Apps with FME
PDF
Advancing precision in air quality forecasting through machine learning integ...
PPTX
Internet of Everything -Basic concepts details
PDF
A symptom-driven medical diagnosis support model based on machine learning te...
PDF
Decision Optimization - From Theory to Practice
PPTX
Build automations faster and more reliably with UiPath ScreenPlay
PDF
5-Ways-AI-is-Revolutionizing-Telecom-Quality-Engineering.pdf
PDF
AI.gov: A Trojan Horse in the Age of Artificial Intelligence
PPTX
Module 1 Introduction to Web Programming .pptx
PDF
Electrocardiogram sequences data analytics and classification using unsupervi...
PDF
Ensemble model-based arrhythmia classification with local interpretable model...
PDF
giants, standing on the shoulders of - by Daniel Stenberg
SaaS reusability assessment using machine learning techniques
Human Computer Interaction Miterm Lesson
NewMind AI Weekly Chronicles – August ’25 Week IV
Lung cancer patients survival prediction using outlier detection and optimize...
LMS bot: enhanced learning management systems for improved student learning e...
CXOs-Are-you-still-doing-manual-DevOps-in-the-age-of-AI.pdf
The AI Revolution in Customer Service - 2025
Transform-Your-Supply-Chain-with-AI-Driven-Quality-Engineering.pdf
Data Virtualization in Action: Scaling APIs and Apps with FME
Advancing precision in air quality forecasting through machine learning integ...
Internet of Everything -Basic concepts details
A symptom-driven medical diagnosis support model based on machine learning te...
Decision Optimization - From Theory to Practice
Build automations faster and more reliably with UiPath ScreenPlay
5-Ways-AI-is-Revolutionizing-Telecom-Quality-Engineering.pdf
AI.gov: A Trojan Horse in the Age of Artificial Intelligence
Module 1 Introduction to Web Programming .pptx
Electrocardiogram sequences data analytics and classification using unsupervi...
Ensemble model-based arrhythmia classification with local interpretable model...
giants, standing on the shoulders of - by Daniel Stenberg

BSL Fintech special / english-french

  • 2. Robo-AdvisorMobile payment execution Blockchain APIs & “open banking” Crypto-monney Investing Blockchain Big DataCrypto-monney Personal Finance Management Investing TradingCrowd Lending Summary Introduction 8 / 72 Christian Marchand, Consultant FINTECH Interview 10 / 74 Paolo Buzzi, CTO and co-founder of Swissquote Artificial intelligence 14 / 78 Marco Abele, Head of Platform Management & Digitalization at Credit Suisse in Switzerland Big Data / Smart Data 17 / 81 Philippe Henderickx, Head of Strategic Sales Banking at Swisscom Open banks and APIs 20 / 84 Ben Robinson and Aaron Phethean are respectively head of strategy and marketing, and head of the MarketPlace at Temenos Community Management 24 / 88 Olivier Collombin, Founder of E-merging, the social network for private wealth professionals and co-founder of Money ID Blockchain 27 / 91 Daniel Gasteiger, CoFounder of Nexussquared – Accelerating Blockchain Ideas Personal Financial Management 30 / 94 David Hamilton, CEO at eWise Crypto-money 34 / 98 Alexis Roussel, co-Founder Bity Incubator & Vision 38 / 102 Markus Graf, Head Innovation Management DGI at SIX Group Services AG Crowdfunding 41 / 105 Vincent Pignon, President of Swiss Crowdfunding Association Contactless 46 / 110 Sebastien Piolat, Head of Business Development, SMARTLINK Digital Vault 51 / 115 Dr. Tobias Christen, CEO at DSwiss AG
  • 5. Robo-AdvisorMobile payment execution Blockchain APIs & “open banking” Crypto-monney Investing Blockchain Big DataCrypto-monney Personal Finance Management Investing TradingCrowd Lending 32 / 96 one-stop-application makes life easier and their spending more controllable. It is no wonder that many people have difficulties managing their finances given the high number of financial relationships an individual has: credit cards, savings accounts, current accounts, investments accounts, brokerage accounts, insurance policies, pension plans. Data privacy and security are key Banks clearly understand the customers’ demand for sim- plicity, aggregating all of their financial accounts in one place and delivering easy-to-use digital Money Manage- ment tools. So in a world where personal data security is increasingly under threat, how do financial institutions of- fer their customers comprehensive Account Aggregation and Personal Financial Management tools without becom- ing the custodian of customer data and therefore a larger target for hackers and increasing the risk of data loss? The answer to their concerns is to understand the ar- chitecture of data aggregation models and opt for a cli- ent-side aggregation model, where all the data remains private to the customer. While on the surface, most Account Aggregation solutions look the same, lurking below are substantial differences in how data is accessed and aggregated for the customer. In broad terms there are two types of Account Aggrega- tion; “Server-Side” where customer accounts and infor- mation is aggregated by a server owned and managed by a third-party service provider, and “Client-Side” where customer accounts and information is aggregated on the customers chosen device (their mobile, tablet or PC). In a “Server-Side” model, customers, having accepted Terms & Conditions that provide “Power of attorney” to the service provider, disclose their online credentials to the service provider. These credentials are stored on the server and are used by the provider to perform aggrega- tion. Aggregated data is also stored on the server for pro- cessing and ultimately access by the customer. The inher- ent risks associated with disclosure of online credentials to a third-party and the swelling amount of personal finan- cial information stored by the provider, even if encrypted, are obvious and significant downsides to this approach. Conversely, the “Client-Side” model, invented and pat- ented by eWise in 2000, never requires the customer to disclose their online credentials to a third-party and all aggregation is performed on the customer’s chosen de- vice. All data and information is encrypted and stored on the customer’s device in a Personal Data Vault, where the customer can choose to share their data with the service provider or any third-party through permission manage- ment (privacy controls). In line with security best practice, encryption keys are not stored on the device but rather on “zero-knowledge” servers. In the client-side model, a financial services firm or Ac- count Aggregation service provider never becomes the custodian of the customer’s online credentials. Through permissions granted by the customer, information they hold with external financial services providers maybe shared with the service provider from the Personal Data Vault. This approach not only offers customers greater control and choice over the personal data, it eliminates the compliance, legal and security risks of online creden- tial custody for the service provider. Personal data sharing through explicit customer’s per- mission is the only way to keep their trust An effect of implicit credential sharing through the serv- er-side aggregation model means that the service provider has access to user’s financial data and can then anonymise and sell that data. In a quest for better opportunities to cross-sell and increase revenue, sensitive and personal data has become paramount. There is a very high demand from companies and financial institutions to acquire personal data. But taking care of user’s privacy also takes care of the bank’s objective. The goal of getting more insights in order to achieve better cross-selling opportunities could be achieved in a private and secure way that is mutually beneficial. With client-side aggregation, customers take control over their data and benefit from choosing who they want to share their data with through a granular permission management dash- board. Customers get control back over their personal data and the bank is positioned as a trusted partner. Benefits for banks implementing a Personal Financial Management solution and added value for customers Successful PFM implementations involve a shift away from focus solely on internal products to increasing scope
  • 6. Robo-AdvisorMobile payment execution Blockchain APIs & “open banking” Crypto-monney Investing Blockchain Big DataCrypto-monney Personal Finance Management Investing TradingCrowd Lending 33 / 97 to cover external institution accounts and services in the financial picture they present to their customer. This cul- ture shift, the perceived compliance risks, and complexity of adjusting well established digital channels are causing financial institutions to be hesitant in adopting and com- mitting to these solutions. Questions are being raised such as: What are the benefits of PFM? What is the Return on Investment? What is the added value for customers? There are a significant number of benefits for both cus- tomers and banks. We can easily highlight three main key benefits: increased customer loyalty, increased product penetration per customer and increased digital engage- ment. Loyalty is key in obtaining a long-term client base, with the implementation of PFM and increased engagement, clients are less likely to switch to other service providers. A European bank, client of eWise, reduced churn by 50% with the adaption of PFM. Thereafter, the bank achieved a 30% increase in balance among users through relevant cross-selling offers. It was also demonstrated by another customer that with the right execution and customer ex- 1 Western European weighted average = 0.31 visit per user / day – Cap Gemini & Efma , 2014 World Retail Banking Report perience the bank achieved 1.01 e-banking visits per day, after the first month of launch, which is +225% more en- gagement than Western European weighted average of 0.31 e-banking visits per day1 . Enabling clients with tools to be financially savvy has re- sulted in an increase in loyalty and they become less likely to change providers. Businesses can benefit from the rich data collected and created from PFM solutions through insights gained from data shared by the user. Customers spending habits allows for a personalised approach to client relations, increasing cross-sell services tailored to their needs with direct revenue generation. The encouragement of using digital money management tools to achieve goals and improve financial management can reduce costs in other channels. Through Personal Financial Management a more hands- on-approach to financial management and insights not only gains trust, moreover, a smart approach that will im- prove the overall services provided by the implementer.