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About 
the 
experience 
of 
Banco 
Santander 
with 
OSS 
November 
2014
‹Nº› 
Introduction 
About the Grupo Santander activities 
on Open Source 
Conclusions
1 Introduction 3 
Some numbers about Banco Santander 
GEOGRAPHIC 
PRESENCE INFRASTRUCTURE 
BRANCHES 14.392 
PCs 281.946 
POS 495.785 
ATMs 39.026 
MAINFRAME 
186.000 
MIPS 
4,4 
PB 
SERVERS +50.000 
STORAGE +40 
PB 
CUSTOMERS: 
106 
M 
EMPLOYEES: 
182.958
4 
1 Introduction 
Ubiquity of Mobility, Social Networks and Internet-of-Things 
are causing an explosive growth in the generation of data.
5 
1 Introduction 
There is a lot of value that can be extracted from this haystack 
of data, but its nature has dramatically changed: 
• Geo-localization of the user 
• Places that the user has visited 
• Shopping information 
• Places where the user makes the payments 
• People with whom the user has interacted 
• Websites that the user has visited 
• Interests that the user has made public 
Data was always important, but its nature has changed: 
• Variety: many new sources, specially unstructured data 
• Velocity: pace of data generation has exploded 
• Volume: we need to store all this data in order to analyse it
6 
1 Introduction 
Moreover, data availability, storage capacity and process 
capabilities are becoming increasingly less 
important as barriers to entry: 
Thanks to Moore’s Law*, powerful computing 
infrastructure is available to everybody, from start-ups to 
large corporations 
Affordable massive storage capacity based on cloud 
infrastructure is available from providers like Amazon, 
Microsoft, etc 
With their actions, clients make their data accessible to 
multiple players (giving apps permissions, posting 
comments in social networks, using aggregation services 
like in banking, continuously creating profiles,…) 
Process 
capabilities 
and 
communications 
Storage 
capacity 
Data 
availability 
• Note: Moore’s Law applies strictly only to chip density. The equivalent for storage is Kryder's Law, 
and for data networks Gilder’s Law and Metcalfe's Law.
7 
1 Introduction 
The shifting nature of data and the lack of barriers of entry make 
real time approach based on machine learning a must: 
Capturing data is not enough. We need to use it for Real time and relevant reaction 
to customer behaviour: 
• A highly data-driven approach for businesses is emerging. 
• In some domains, statistical machine learning with enormous amounts of data has 
beaten traditional methods* 
Even a great debate has started: “More Data Beats Better Algorithms?” 
Machine 
learning 
on 
BigData 
is 
required 
for 
real-­‐time 
reaction 
to 
customer 
behaviour 
* “The Unreasonable Effectiveness of Data” (2009, P. Norvig et al.) 
* “The End of Theory: The Data Deluge Makes the Scientific Method Obsolete” (2008, Chris Anderson)
8 
We are entering a new era in the history of computing 
Past Future 
Nobody produced 
SW (except the 
HW providers). 
HW became a 
commodity. 
SW became the 
critical 
differentiator for 
businesses. 
Focus shifts from transaction 
execution to Data capture and 
exploitation. 
HW (cloud) and SW (OSS) are 
becoming critical enablers all 
together: the key drivers are 
usability and costs. 
1 Introduction
8 
We are entering a new era in the history of computing 
Past Future 
ERA of HW ERA of SW ERA of DATA 
Nobody produced 
SW (except the 
HW providers). 
HW became a 
commodity. 
SW became the 
critical 
differentiator for 
businesses. 
Focus shifts from transaction 
execution to Data capture and 
exploitation. 
HW (cloud) and SW (OSS) are 
becoming critical enablers all 
together: the key drivers are 
usability and costs. 
1 Introduction
9 
1 Introduction 
But explosive growth in processing, produces an equal 
explosive growth in cost of proprietary SW: 
• The best way to control explosion of SW costs is the use of OSS 
• If we add other features of OSS like vendor independence, greater 
innovation, community collaboration, and control over the evolution of SW 
Then 
Open 
Source 
Software 
(OSS) 
is 
inevitable 
and 
a 
key 
enabler 
of 
the 
Era 
of 
Data
3 Introduction 10 
For us, embracing OSS is not about cheaper or free 
We shift from vendor-dependence to SW-dependence. This 
is good, specially for mission-critical SW. We have more 
choices for SW maintenance and evolution. 
It is easier to influence/participate in the strategic evolution 
of the SW that we use. 
It is easier to innovate with a white-box approach (OSS) 
than with a black-box approach (proprietary SW). 
Vendor 
independence 
Strategic 
evolution 
of 
SW 
Open 
innovation 
Shift from traditional hierarchical SW development structure 
to a distributed collaborative development culture. 
Change 
of 
internal 
development 
culture
‹Nº› 
Introduction 
About the Grupo Santander activities 
on Open Source 
Conclusions
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 12 
OSS external communities We have 4 initiatives
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 12 
1 
OSS external communities 
Consumption 
of 
OSS 
1 
We have 4 initiatives
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 12 
1 
2 
OSS external communities 
Consumption 
of 
OSS 
Production 
of 
OSS 
1 2 
We have 4 initiatives
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 12 
1 
2 
OSS external communities 
3 
Consumption 
of 
OSS 
Production 
of 
OSS 
InnerSource 
(internal 
OSS) 
1 2 
3 
We have 4 initiatives
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 12 
1 
2 
4 
OSS external communities 
3 
Consumption 
of 
OSS 
Production 
of 
OSS 
InnerSource 
(internal 
OSS) 
Observatory 
of 
OSS 
1 2 
3 
We have 4 initiatives
13 
Kosmos 
a PMF tool 
Kid 
a PMF tool 
eureka 
Operation Services 
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 
We have several Open Source initiatives developed internally 
in different stages of maturity…
14 
WE 
ARE 
PROUDLY 
SPONSORING 
SOME 
PROJECTS… 
…AND 
GIVING 
BACK 
TO 
THE 
COMMUNITY 
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 
…and external involvement too…
15 
IS 
AN 
AGREEMENT 
WITH 
WHERE 
WE 
ARE 
RUNNING 
SEVERAL 
APPLIED-­‐RESEARCH 
PROJECTS 
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 
…and we have an open innovation collaboration with universities… 
…with ambitious long-term objectives…
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 16
17 
3 About 
the 
Grupo 
Santander 
activities 
on 
Open 
Source 
…with ambitious long-term objectives… 
CREATION 
OF 
AN 
OPEN 
PUBLIC-­‐PRIVATE 
INNOVATION 
ECOSYSTEM 
FOR 
THE 
DEVELOPMENT 
AND 
PROMOTION 
OF 
“TECHNOLOGIES 
FOR 
THE 
DIGITAL 
BUSINESS” 
• Promote the development and market introduction of technology, systems, 
services and applications for the new digital economy in an Open Source 
Software model 
• Test and validate new business models associated to Open Ecosystems and 
Open Source Software 
• Joint participation in international research programs with emphasis on the 
Public-Private Partnership model (eg. EU Horizon 2020) 
• Improve the competences and skills of all the people participating in the 
ecosystem, specially of students graduating from the participating universities.
‹Nº› 
Introduction 
About the relevance of Open Source 
worldwide 
About the Grupo Santander activities 
on Open Source 
Conclusions
4 Conclusions 
19 
Take 
home 
messages 
• Open Source Software is a critical 
enabler for the new Era of Data 
• Europe has to aggressively 
promote pan-european 
Public-Private Partnerships 
around OSS and new 
business models for the 
Digital Economy 
• This is critical to compete 
with USA (Amazon, Google, 
Apple,…) and Asia (Alibaba, 
…) in the number and size of 
digital innovative companies 
• Banco Santander is 
willing to participate 
actively on such 
ambitious initiatives

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Software libre en la banca - Experiencias del grupo Santander con OSS

  • 1. About the experience of Banco Santander with OSS November 2014
  • 2. ‹Nº› Introduction About the Grupo Santander activities on Open Source Conclusions
  • 3. 1 Introduction 3 Some numbers about Banco Santander GEOGRAPHIC PRESENCE INFRASTRUCTURE BRANCHES 14.392 PCs 281.946 POS 495.785 ATMs 39.026 MAINFRAME 186.000 MIPS 4,4 PB SERVERS +50.000 STORAGE +40 PB CUSTOMERS: 106 M EMPLOYEES: 182.958
  • 4. 4 1 Introduction Ubiquity of Mobility, Social Networks and Internet-of-Things are causing an explosive growth in the generation of data.
  • 5. 5 1 Introduction There is a lot of value that can be extracted from this haystack of data, but its nature has dramatically changed: • Geo-localization of the user • Places that the user has visited • Shopping information • Places where the user makes the payments • People with whom the user has interacted • Websites that the user has visited • Interests that the user has made public Data was always important, but its nature has changed: • Variety: many new sources, specially unstructured data • Velocity: pace of data generation has exploded • Volume: we need to store all this data in order to analyse it
  • 6. 6 1 Introduction Moreover, data availability, storage capacity and process capabilities are becoming increasingly less important as barriers to entry: Thanks to Moore’s Law*, powerful computing infrastructure is available to everybody, from start-ups to large corporations Affordable massive storage capacity based on cloud infrastructure is available from providers like Amazon, Microsoft, etc With their actions, clients make their data accessible to multiple players (giving apps permissions, posting comments in social networks, using aggregation services like in banking, continuously creating profiles,…) Process capabilities and communications Storage capacity Data availability • Note: Moore’s Law applies strictly only to chip density. The equivalent for storage is Kryder's Law, and for data networks Gilder’s Law and Metcalfe's Law.
  • 7. 7 1 Introduction The shifting nature of data and the lack of barriers of entry make real time approach based on machine learning a must: Capturing data is not enough. We need to use it for Real time and relevant reaction to customer behaviour: • A highly data-driven approach for businesses is emerging. • In some domains, statistical machine learning with enormous amounts of data has beaten traditional methods* Even a great debate has started: “More Data Beats Better Algorithms?” Machine learning on BigData is required for real-­‐time reaction to customer behaviour * “The Unreasonable Effectiveness of Data” (2009, P. Norvig et al.) * “The End of Theory: The Data Deluge Makes the Scientific Method Obsolete” (2008, Chris Anderson)
  • 8. 8 We are entering a new era in the history of computing Past Future Nobody produced SW (except the HW providers). HW became a commodity. SW became the critical differentiator for businesses. Focus shifts from transaction execution to Data capture and exploitation. HW (cloud) and SW (OSS) are becoming critical enablers all together: the key drivers are usability and costs. 1 Introduction
  • 9. 8 We are entering a new era in the history of computing Past Future ERA of HW ERA of SW ERA of DATA Nobody produced SW (except the HW providers). HW became a commodity. SW became the critical differentiator for businesses. Focus shifts from transaction execution to Data capture and exploitation. HW (cloud) and SW (OSS) are becoming critical enablers all together: the key drivers are usability and costs. 1 Introduction
  • 10. 9 1 Introduction But explosive growth in processing, produces an equal explosive growth in cost of proprietary SW: • The best way to control explosion of SW costs is the use of OSS • If we add other features of OSS like vendor independence, greater innovation, community collaboration, and control over the evolution of SW Then Open Source Software (OSS) is inevitable and a key enabler of the Era of Data
  • 11. 3 Introduction 10 For us, embracing OSS is not about cheaper or free We shift from vendor-dependence to SW-dependence. This is good, specially for mission-critical SW. We have more choices for SW maintenance and evolution. It is easier to influence/participate in the strategic evolution of the SW that we use. It is easier to innovate with a white-box approach (OSS) than with a black-box approach (proprietary SW). Vendor independence Strategic evolution of SW Open innovation Shift from traditional hierarchical SW development structure to a distributed collaborative development culture. Change of internal development culture
  • 12. ‹Nº› Introduction About the Grupo Santander activities on Open Source Conclusions
  • 13. 3 About the Grupo Santander activities on Open Source 12 OSS external communities We have 4 initiatives
  • 14. 3 About the Grupo Santander activities on Open Source 12 1 OSS external communities Consumption of OSS 1 We have 4 initiatives
  • 15. 3 About the Grupo Santander activities on Open Source 12 1 2 OSS external communities Consumption of OSS Production of OSS 1 2 We have 4 initiatives
  • 16. 3 About the Grupo Santander activities on Open Source 12 1 2 OSS external communities 3 Consumption of OSS Production of OSS InnerSource (internal OSS) 1 2 3 We have 4 initiatives
  • 17. 3 About the Grupo Santander activities on Open Source 12 1 2 4 OSS external communities 3 Consumption of OSS Production of OSS InnerSource (internal OSS) Observatory of OSS 1 2 3 We have 4 initiatives
  • 18. 13 Kosmos a PMF tool Kid a PMF tool eureka Operation Services 3 About the Grupo Santander activities on Open Source We have several Open Source initiatives developed internally in different stages of maturity…
  • 19. 14 WE ARE PROUDLY SPONSORING SOME PROJECTS… …AND GIVING BACK TO THE COMMUNITY 3 About the Grupo Santander activities on Open Source …and external involvement too…
  • 20. 15 IS AN AGREEMENT WITH WHERE WE ARE RUNNING SEVERAL APPLIED-­‐RESEARCH PROJECTS 3 About the Grupo Santander activities on Open Source …and we have an open innovation collaboration with universities… …with ambitious long-term objectives…
  • 21. 3 About the Grupo Santander activities on Open Source 16
  • 22. 17 3 About the Grupo Santander activities on Open Source …with ambitious long-term objectives… CREATION OF AN OPEN PUBLIC-­‐PRIVATE INNOVATION ECOSYSTEM FOR THE DEVELOPMENT AND PROMOTION OF “TECHNOLOGIES FOR THE DIGITAL BUSINESS” • Promote the development and market introduction of technology, systems, services and applications for the new digital economy in an Open Source Software model • Test and validate new business models associated to Open Ecosystems and Open Source Software • Joint participation in international research programs with emphasis on the Public-Private Partnership model (eg. EU Horizon 2020) • Improve the competences and skills of all the people participating in the ecosystem, specially of students graduating from the participating universities.
  • 23. ‹Nº› Introduction About the relevance of Open Source worldwide About the Grupo Santander activities on Open Source Conclusions
  • 24. 4 Conclusions 19 Take home messages • Open Source Software is a critical enabler for the new Era of Data • Europe has to aggressively promote pan-european Public-Private Partnerships around OSS and new business models for the Digital Economy • This is critical to compete with USA (Amazon, Google, Apple,…) and Asia (Alibaba, …) in the number and size of digital innovative companies • Banco Santander is willing to participate actively on such ambitious initiatives