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Nairobi April 2017
Haydn Shaughnessy
Why Banks Are Failing the
Innovation Test
Advising: SWIFT, CLS, RBS, Swiss Stock Exchange, Earthport, JP Morgan,
Rabobank, BNY Mellon, GARP, ING, Nokia, CEC:
Published in HBR, Forbes, Wall St Journal,Strategy and Leadership, Innovation
Management
Currently helping companies accelerate innovation and save 30% of cost
Haydn Shaughnessy
Why Do Banks Fail The Innovation Test?
Data from from the Elastic Innovation Index in Finance, SWIFT
All co / All fin / Only banks / Top 10 G-SIB
All co
All fin
Only banks
Top 10 G-SIB
Top 10 firms
100
87.5
75
62.5
50
A GENERATION OF INNOVATION PASSED THEM BY
IN TWO MAJOR STUDIES INVOLVING OVER 200 COMPANIES
the qualities of excellence we found in the Top 10
Thinking as
a platform
business
Having or
planning
open APIs
Having
executives
with founder
experience
Engaging in
open-source
initiatives
Making use of
externalised
skills and
labour sources
Convergence in industry structure
Experimental
period
1998
1999
2000
2001
Copyright Haydn Shaughnessy 2017
Convergence in industry structure
Experimental
period
New
Information
layer
New
ecosystems
mobile
computing
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
Copyright Haydn Shaughnessy 2017
Convergence in industry structure
Experimental
period
New
Information
layer
New
ecosystems
Business
platforms
Horizontal
businesses
finance
logistics
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
manufacturing
mobile
computing
Threats
to bank
revenues
$300 billion transaction
increase 2016/17 seeking a defensive
response
Hundreds of millions of
new products in one year
2 billion customers
by 2026
UNEXPECTED COMPETITORS ?
Copyright Haydn Shaughnessy 2017
Question 1
Where do you imagine your main competition to be in three years time?
1. Global or regional banks
2. Alibaba or other Chinese platforms
3. Western tech platforms
4. Social networks
5. Fintech
6. Other
9
Why are banks failing the innovation test?
Scale, Scope, Speed
at Low Relative Cost
Driving Scale, Scope, Speed. Garden and a Platform
Copyright Haydn Shaughnessy 2017
New business models in the platform economy
Ecosystem
Revenue
Supplier
H
ardw
are
Gardening
Hardware
New business models in the platform economy
Supplier
D
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aker
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ardw
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dosing
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New business models in the platform economy
Supplier
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evice
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aker
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eveloper
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ontentprovider
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ardw
areSoftw
are
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Ecosystem
Revenue
HardwareCloud and
Content
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dosing
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evice
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aker
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eveloper
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ontentprovider
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aker
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eveloper
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ata
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New business models in the platform economy
Hardware
Software
Cloud and
Content
Data and AI
Marketplaces
Ecosystem
Revenue
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aker
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as service
They are or want to be huge transaction
engines
Have rapidly adopted high performance
processes
Moved away from core competency
Drive price towards zero
Why they are a threat?
Question 2
What is top of your innovation agenda right now?
1. Operational cost reduction
2. Non-performing loan solutions
3. Other risk management/cyber security
4. AI
5. New business/stronger margins
6. Other
19
What then should be top of the CEO agenda?
How to SCALE at low relative cost
while becoming more adaptive
“Much of what we do is no longer on a roadmap. It cannot follow a linear
workflow”
Executive in the Finnish software industry
Scale
Scale at low relative cost
1.Aiming for regional to global markets by
exploiting third party assets and adjacent
services
2.Creating additional advocacy effects
through stronger value propositions
3.Continuous delivery in IT supported by
Cloud computing (66% price drop 2014-16)
4. Devolving risk onto ecosystems
5. Correcting goal and work misalignment
30% overhead
Matching objectives with projects to kill Zombie work
The Executive Portfolio Wall
Set out top five strategic objectives
Bring all projects into public view
With project size estimates
Ask which projects meet which objectives
Kill those that don’t = 30% savings
Copyright Haydn Shaughnessy 2017
Scope
The significance of the ecosystem
Source: Accenture 2017
Percentage of
executives who
believe competitive
advantage will come
from the ecosystem
75%
Building
ecosystem
as process
Question 3
Do you have any plans to expand your innovation capacity through the use of third
party ecosystems
Yes
No
Not sure
27
Ecosystem mapping - New process models
Ecosystem mapping - Identification
Educate Prove Prototype Adopt
Ecosystem mapping - Close up
Prototype
Normalize data
Refine model
Test & Iterate
Analyze PayOffImplement feedback
loop and Monitor
Assess workflow
implications
Ecosystem mapping - Refinement
Normalize data
Capital Markets Are Ripe for The Ecosystem
CAPITAL MARKETSSample High Level Areas
Front Office
Client Experience/Tools
Client Management
Pre-Trade Analytics
Execution
Risk Management
Order Management
TECH THEMES
Artificial Intelligence
Big Data
Aggregation
Analytics
Governance
Standards
Blockchain
Cloud
Communication Tools
Cyber Security
Legacy Architecture
Machine Learning
Natural Language
Processing
Open Source Software
Process/Service
Externalization
Robotics
Compliance and Control (including Regulatory Reporting)
Human Resources
Technology / Infrastructure
Middle Office
Trade Matching/
Confirmations
Trade Processing
Trade Enrichment
Treasury
Risk Management
Back Office
Confirmation
Settlement
Clearing
Finance / Accounting
The problem of market information in banking
The Problem of Product Market Fit in Finance
FinTech
Professionalize
Democratize
Standardize
The ASPIRE™
Scorecard
RegTech
Ai
Blockchain
MiFiD
Funding
Company Objectives
Company Product
Offices
Staff
Score
Clients
Offices
Staff Clients
Amit K. Sikdar
Co Founder and CEO
With more than 30 years of experience in
the global financial markets with a focus
in the OTC derivative business.
Taxonomy: Cloud based
Trading Technology; Financial Applications (Mobile)
Business Model:
NEW YORK
500 Wall St, Suite 1600
New York, NY 10005
Phone : +1-646-777-7500
info@smarttradar.com
SmarTTradar delivers innovative software
solutions to well established exchanges, inter
dealer brokers, electronic communications
networks (“ECNs”), Automated Trading
Systems (ATSs), market data, analytics and
other financial services providers
SmarTTradar has developed a pre-trade
connectivity and information management tool
for traders that focuses on organising and
processing ever-proliferating amounts of data
at speed and is MiFID 2 compliant. 

The product allows trades to be managed in a
modern way and interacts with different parts
of the client’s infrastructure maximising the
value throughout the firm.
40
LONDON
1 Fore Street
London EC2Y 9DT
Phone : +44 207 345 7878
5 - 10
2
The ASPIRETM Scorecard
Company Profile Company Score Company Description
Company Score 79/100
Technical Score 74/80
Larry Thompson
Co Founder and COO
With over 30 years of IT experience 20+
years in the financial industry, creating a
secure, robust, 24x7 application
distribution architecture
Michael Reuter
Co Founder and CTO
Former Chief Information Officer for
Deutsche Bank's Capital Markets
business, having previously been CIO for
Instinet Fixed Income
Speed
Key problem: most projects, even Agile ones deliver in batches and create
integration and security problems: work processes need to be more fluid
SkyScanner
• 2013 24 software releases per year
• 2016 95 per day
• 2017 10,000 per day
High performing organisations create at least 10% additional time for
experimentation
Accelerating innovation through highly delegated decision processes
Total visualization of work to promote continuous delivery
Creating Ideas For a Broad Range of Customers
Increase the cadence of interaction
Flow for strategy
Customer
Wall
Evaluation Work Up
Digital
Business Wall
Executive
Portfolio Wall
Project Walls
Total visualization of the flow of work
Executive
portfolio wall
Projects in
play wall
Risk and
issues wall
Project wall
Team KanBan
wall Automated
continuous
delivery
Summary
1. Competition is coming from outside finance, from high performing
organisations converging sectors
2. Lowering cost:
(i) Average 30% saving on major resource allocations is available to you.
(ii) 60% savings on IT infrastructure
(iii) Delegating risk
3. Additional IT delivery resources can be freed up
4. Scale: Drive stronger value propositions on a regional basis
5. Scope: Delivered via ecosystems
6. Speed: Where you now have one project think 20 and deliver through
visualization
Conclusions
● Simple but profound goals: scale, scope, speed;
● Quick wins in process flow: rescue wasted resources, accelerate
innovation and make people feel good;
● And devolve risk onto ecosystems to accelerate change and build
advocacy;
● Benchmark
● The Big Ask? Dare to change the franchise before it is changed for
you. Ask Nokia!

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Kba symposium 6th april

  • 1. Nairobi April 2017 Haydn Shaughnessy Why Banks Are Failing the Innovation Test
  • 2. Advising: SWIFT, CLS, RBS, Swiss Stock Exchange, Earthport, JP Morgan, Rabobank, BNY Mellon, GARP, ING, Nokia, CEC: Published in HBR, Forbes, Wall St Journal,Strategy and Leadership, Innovation Management Currently helping companies accelerate innovation and save 30% of cost Haydn Shaughnessy
  • 3. Why Do Banks Fail The Innovation Test? Data from from the Elastic Innovation Index in Finance, SWIFT All co / All fin / Only banks / Top 10 G-SIB All co All fin Only banks Top 10 G-SIB Top 10 firms 100 87.5 75 62.5 50
  • 4. A GENERATION OF INNOVATION PASSED THEM BY IN TWO MAJOR STUDIES INVOLVING OVER 200 COMPANIES the qualities of excellence we found in the Top 10 Thinking as a platform business Having or planning open APIs Having executives with founder experience Engaging in open-source initiatives Making use of externalised skills and labour sources
  • 5. Convergence in industry structure Experimental period 1998 1999 2000 2001 Copyright Haydn Shaughnessy 2017
  • 6. Convergence in industry structure Experimental period New Information layer New ecosystems mobile computing 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Copyright Haydn Shaughnessy 2017
  • 7. Convergence in industry structure Experimental period New Information layer New ecosystems Business platforms Horizontal businesses finance logistics 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 manufacturing mobile computing
  • 8. Threats to bank revenues $300 billion transaction increase 2016/17 seeking a defensive response Hundreds of millions of new products in one year 2 billion customers by 2026 UNEXPECTED COMPETITORS ? Copyright Haydn Shaughnessy 2017
  • 9. Question 1 Where do you imagine your main competition to be in three years time? 1. Global or regional banks 2. Alibaba or other Chinese platforms 3. Western tech platforms 4. Social networks 5. Fintech 6. Other 9
  • 10. Why are banks failing the innovation test? Scale, Scope, Speed at Low Relative Cost
  • 11. Driving Scale, Scope, Speed. Garden and a Platform Copyright Haydn Shaughnessy 2017
  • 12. New business models in the platform economy Ecosystem Revenue Supplier H ardw are Gardening Hardware
  • 13. New business models in the platform economy Supplier D evice m aker H ardw areSoftw are Ecosystem Revenue HardwareSmart dosing Gardening Software
  • 14. New business models in the platform economy Supplier D evice m aker D eveloper C ontentprovider H ardw areSoftw are Subscriptions Ecosystem Revenue HardwareCloud and Content Smart dosing GardeningSmart gardener Software
  • 15. New business models in the platform economy Supplier D evice m aker D eveloper C ontentprovider H ardw areSoftw are Subscriptions A pps SD K Ecosystem Revenue HardwareCloud and Content Apps Smart dosing GardeningSmart gardener Garden as system Software
  • 16. New business models in the platform economy Supplier D evice m aker D eveloper C ontentprovider D ata analyst H ardw areSoftw are Subscriptions A pps SD K Ecosystem Revenue HardwareCloud and Content Data and AI Apps Smart dosing GardeningSmart gardener Garden as system Garden as data Software
  • 17. New business models in the platform economy Hardware Software Cloud and Content Data and AI Marketplaces Ecosystem Revenue Apps Supplier D evice m aker D eveloper C ontentprovider D ata analystEveryone H ardw areSoftw are Subscriptions A pps SD K % ofrevenue Smart dosing GardeningSmart gardener Garden as system Garden as data Garden as service
  • 18. They are or want to be huge transaction engines Have rapidly adopted high performance processes Moved away from core competency Drive price towards zero Why they are a threat?
  • 19. Question 2 What is top of your innovation agenda right now? 1. Operational cost reduction 2. Non-performing loan solutions 3. Other risk management/cyber security 4. AI 5. New business/stronger margins 6. Other 19
  • 20. What then should be top of the CEO agenda? How to SCALE at low relative cost while becoming more adaptive “Much of what we do is no longer on a roadmap. It cannot follow a linear workflow” Executive in the Finnish software industry
  • 21. Scale
  • 22. Scale at low relative cost 1.Aiming for regional to global markets by exploiting third party assets and adjacent services 2.Creating additional advocacy effects through stronger value propositions 3.Continuous delivery in IT supported by Cloud computing (66% price drop 2014-16) 4. Devolving risk onto ecosystems 5. Correcting goal and work misalignment 30% overhead
  • 23. Matching objectives with projects to kill Zombie work The Executive Portfolio Wall Set out top five strategic objectives Bring all projects into public view With project size estimates Ask which projects meet which objectives Kill those that don’t = 30% savings Copyright Haydn Shaughnessy 2017
  • 24. Scope
  • 25. The significance of the ecosystem Source: Accenture 2017 Percentage of executives who believe competitive advantage will come from the ecosystem 75%
  • 27. Question 3 Do you have any plans to expand your innovation capacity through the use of third party ecosystems Yes No Not sure 27
  • 28. Ecosystem mapping - New process models
  • 29. Ecosystem mapping - Identification Educate Prove Prototype Adopt
  • 30. Ecosystem mapping - Close up Prototype Normalize data Refine model Test & Iterate Analyze PayOffImplement feedback loop and Monitor Assess workflow implications
  • 31. Ecosystem mapping - Refinement Normalize data
  • 32. Capital Markets Are Ripe for The Ecosystem CAPITAL MARKETSSample High Level Areas Front Office Client Experience/Tools Client Management Pre-Trade Analytics Execution Risk Management Order Management TECH THEMES Artificial Intelligence Big Data Aggregation Analytics Governance Standards Blockchain Cloud Communication Tools Cyber Security Legacy Architecture Machine Learning Natural Language Processing Open Source Software Process/Service Externalization Robotics Compliance and Control (including Regulatory Reporting) Human Resources Technology / Infrastructure Middle Office Trade Matching/ Confirmations Trade Processing Trade Enrichment Treasury Risk Management Back Office Confirmation Settlement Clearing Finance / Accounting
  • 33. The problem of market information in banking
  • 34. The Problem of Product Market Fit in Finance FinTech Professionalize Democratize Standardize The ASPIRE™ Scorecard RegTech Ai Blockchain MiFiD
  • 35. Funding Company Objectives Company Product Offices Staff Score Clients Offices Staff Clients Amit K. Sikdar Co Founder and CEO With more than 30 years of experience in the global financial markets with a focus in the OTC derivative business. Taxonomy: Cloud based Trading Technology; Financial Applications (Mobile) Business Model: NEW YORK 500 Wall St, Suite 1600 New York, NY 10005 Phone : +1-646-777-7500 info@smarttradar.com SmarTTradar delivers innovative software solutions to well established exchanges, inter dealer brokers, electronic communications networks (“ECNs”), Automated Trading Systems (ATSs), market data, analytics and other financial services providers SmarTTradar has developed a pre-trade connectivity and information management tool for traders that focuses on organising and processing ever-proliferating amounts of data at speed and is MiFID 2 compliant. The product allows trades to be managed in a modern way and interacts with different parts of the client’s infrastructure maximising the value throughout the firm. 40 LONDON 1 Fore Street London EC2Y 9DT Phone : +44 207 345 7878 5 - 10 2 The ASPIRETM Scorecard Company Profile Company Score Company Description Company Score 79/100 Technical Score 74/80 Larry Thompson Co Founder and COO With over 30 years of IT experience 20+ years in the financial industry, creating a secure, robust, 24x7 application distribution architecture Michael Reuter Co Founder and CTO Former Chief Information Officer for Deutsche Bank's Capital Markets business, having previously been CIO for Instinet Fixed Income
  • 36. Speed
  • 37. Key problem: most projects, even Agile ones deliver in batches and create integration and security problems: work processes need to be more fluid SkyScanner • 2013 24 software releases per year • 2016 95 per day • 2017 10,000 per day High performing organisations create at least 10% additional time for experimentation
  • 38. Accelerating innovation through highly delegated decision processes
  • 39. Total visualization of work to promote continuous delivery
  • 40. Creating Ideas For a Broad Range of Customers
  • 41. Increase the cadence of interaction
  • 42. Flow for strategy Customer Wall Evaluation Work Up Digital Business Wall Executive Portfolio Wall Project Walls
  • 43. Total visualization of the flow of work Executive portfolio wall Projects in play wall Risk and issues wall Project wall Team KanBan wall Automated continuous delivery
  • 44. Summary 1. Competition is coming from outside finance, from high performing organisations converging sectors 2. Lowering cost: (i) Average 30% saving on major resource allocations is available to you. (ii) 60% savings on IT infrastructure (iii) Delegating risk 3. Additional IT delivery resources can be freed up 4. Scale: Drive stronger value propositions on a regional basis 5. Scope: Delivered via ecosystems 6. Speed: Where you now have one project think 20 and deliver through visualization
  • 45. Conclusions ● Simple but profound goals: scale, scope, speed; ● Quick wins in process flow: rescue wasted resources, accelerate innovation and make people feel good; ● And devolve risk onto ecosystems to accelerate change and build advocacy; ● Benchmark ● The Big Ask? Dare to change the franchise before it is changed for you. Ask Nokia!