chief data & analytics week, europe- nsemeke ukpong, ing
TRANSCRIPT
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Providing Actionable Insights to Customers through Real Time Data Analytics
Nsemeke Ukpong September 26th 2017, Amsterdam
An overview of the journey towards realising present and future analytics business cases at a large international bank
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Nsemeke Ukpong – Senior Engineer @ ING Analytics
• From London, England
• In Netherlands < 11years
• Academic Background: Intelligent Systems and Research & Design
• At ING for < 5 years
• IT projects for Energy, Kickstarter Platforms, IT Consultancy, Design-Research sectors
• Ethos: “Stand on the shoulders of giants to avoid reinventing the wheel”
• www.linkedin.com/in/nsemekeukpong | @N_Ukpong
www.linkedin.com/in/nsemekeukpong
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Agenda
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ING why the a data-driven strategy 1. Strategy
Active use cases, and anticipated use cases 3. Use cases
Which projects and paradigms are key to us 4. Success factors
What we store and analyze and process 2. Data
The road ahead and staying ahead 5. Next Steps
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Strategy ING why the a data-driven strategy
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ING is a top financial enterprise, founded in 1991
Customers
33 MillionPrivate, Corporate and Institutional Customers
Countries
41 In Europe, Asia,
Australia, North and South America
Employees
52,000
Market leaders Benelux
Growth markets
Commercial Banking
Challengers
5
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Trends in the banking landscape continue to evolve, our strategy is there to adapt and come out on top
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Customer Behaviour
CompetitiveLandscape
Technology Fintech
SocietyRegulation
People’s time is precious;they don’t want to spend it
on finance
Products have become commoditised; the only way to differentiate is through the experience
Regulatory uncertainty continues
Digitalisation is erasing borders
Ability to leverage new technologies will define future competitive advantage
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How to know your customer in the digital banking age?
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1858 20121995
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ING’s Think Forward strategy requires a data-driven approach
9
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DataWhat we store and analyze and process
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There is a lot of data in the bank, in many sizes and shapes
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We combine batch and real-time data to give customers insight
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Target Architecture for TPA CCN
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ING OrangeRGB= 255, 98, 0
ING Light GreyRGB= 168, 168, 168
ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
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Use casesActive use cases, and anticipated use cases
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ING SkyRGB= 96, 166, 218
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▪ Predict transactions and future balance based on historic transactions
▪ Fast data flow, calculations within 200ms
Kijk Vooruit:Real-time Account Forecasting
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Mortgage payment
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Enticement position
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Rate Exchange Use case (PUSH)
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John landed in NY, and switched on his cellphone. He will get a new PUSH
notification from ING with the rate exchange
information for his debit card to be used in NY.
ScenarioUser story
1. John landed in NY2. John switched on his cellphone3. ING detected John is in NY, outside of The
Netherlands and he needs to use another currency ($)
4. ING wants to inform John about the rate exchange for his debit card
5. ING sends out a tailored PUSH notification to John, just right after he switched on his cellphone.
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SDP consumes raw location events via Event Bus and publish back an enriched business event
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3EventBus
2
Device 001
SDP
ING
1
John landed in NY, and switched on his cellphone.
1. A raw event containing geolocation was published to EventBus stating “Profile_01 is at (40.642084, -73.782994) via Device_001”.
2. SDP consumes the raw event from the EventBus
3. GeoLocation Engine converts raw data to functional data such as country, city, address
4. GeoLocation Engine publish an event containing the location
5. SDP consumes the raw event6. SDP processes the data, correlates both raw
events and publishes a business event “Profile_01 is in NY” to the EventBus.
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GeoLocation Engine
3
5
4
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Another use case– Single Day Deal (PUSH)
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Dress3:29 pm
Jeans3:46 pm
Scarf3:57 pm
Track customer behavior and look for specific patterns
(i.e. 3 transactions within 30 minutes resulting in low balance)
Eve’s is shopping, her balance is close to zero and she is eligible for
contact
Apply business logic to determine
best actionAssist, encourage or
offer
3:57 pm<100 milliseconds
Event Bus (Kafka)
Customer Communication
Technical Filter Rule Engine
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Real-time credit scoring
• Can be used to determine customer’s elligibility for credit in real time
• Models can be imported both from SAS software and from PMML files (open source allowed)
• Fully configurable in a web GUI
• Models can be retrained and redeployed in operational environment any time
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ING OrangeRGB= 255, 98, 0
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ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
Primary colours
Secondary colours
Functional colours
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Success factors Which projects and paradigms are key to us
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ING OrangeRGB= 255, 98, 0
ING Light GreyRGB= 168, 168, 168
ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
Primary colours
Secondary colours
Functional colours
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Use the indent button to create the text levels with the appropriate bullet.
Using bullets with indent button ING is championing an Open Metadata and Governance that
will allow…… metadata to be captured when the data is created, moved with the data and be
augmented and processed by any of the vendor tools.
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ING FuchsiaRGB= 171, 0, 102
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ING Mid GreyRGB= 105, 105, 105
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•
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Use the indent button to create the text levels with the appropriate bullet.
Using bullets with indent button The Open Metadata and Governance initiative will allow easy
implementation of meta data in any platform • Common base:
• Automate the collection, management and use of metadata across an enterprise
An enterprise catalog of data resources that are transparently assessed, governed and used in order to deliver maximum value to the enterprise.
an open set of APIs
an open set of metadata
types
an open set of exchange protocols
Governance Access FrameworksDiscovery
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ING FuchsiaRGB= 171, 0, 102
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Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
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ING is an Experimental Enterprise
Source: Edd Dumbill, Forbes, 2014
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ING OrangeRGB= 255, 98, 0
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Colour guidelines
ING FuchsiaRGB= 171, 0, 102
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Squad
Tribes, squads, chapters, guilds, …
SquadSquad
Chapter
Guild
DS
DA
OpsOps
CJE
DS
DA
DS
CJE
DS
Ops
DS
CJE
Dev DevDevDevDev
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ING OrangeRGB= 255, 98, 0
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ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
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Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
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Next Steps The road ahead and staying ahead
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ING FuchsiaRGB= 171, 0, 102
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ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
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Streaming Analytics enables us to detect patterns in real time, and respond to events for customers’ benefit
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Secure and reliable
Relevant
Personal
Omnichannel
Predictive Actionable
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ING OrangeRGB= 255, 98, 0
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Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
Primary colours
Secondary colours
Functional colours
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No content below the grey line
ING OrangeRGB= 255, 98, 0
ING Light GreyRGB= 168, 168, 168
ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
Primary colours
Secondary colours
Functional colours
32
No content below the grey line
ING OrangeRGB= 255, 98, 0
ING Light GreyRGB= 168, 168, 168
ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
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An inspiring place to work!
33
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ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
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Follow us to stay a step ahead
ING.com
YouTube.com/ING
SlideShare.net/ING@ING_News LinkedIn.com/company/ING
Flickr.com/INGGroupFacebook.com/ING
Have a nice future! (we’re hiring!)
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ING OrangeRGB= 255, 98, 0
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ING IndigoRGB= 82, 81, 153
ING SkyRGB= 96, 166, 218
Colour guidelines
ING FuchsiaRGB= 171, 0, 102
ING LimeRGB= 208, 217, 60
ING LeafRGB= 52, 150, 81
ING Mid GreyRGB= 105, 105, 105
Text ColourRGB= 51, 51, 51
ING MinusRGB= 255, 0, 0ING PlusRGB= 52, 150, 81
Primary colours
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Functional colours
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Questions