20151009 presentation predictive banking

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Innovation Bootcamp Commercial Banking Pascal Spelier, October 9 th 2015 Predictive Banking, Two Steps Ahead

Transcript of 20151009 presentation predictive banking

Innovation Bootcamp Commercial Banking Pascal Spelier, October 9th 2015

Predictive Banking, Two Steps Ahead

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Customer Distribution / Front Office

Manufacturing / Back Office Market Infrastructure

Individual

Institution

Inve

stin

g /

Wea

lth M

gmnt

Pe

rson

al

Savi

ngs

Lend

ing

Capi

tal

Raisi

ng

Source: based on illustration ‘Financial Services Value Chain Supermarket Age’ by Doug Nelson

Paym

ents

= flow of capital

Current value chain is under pressure…

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Customer Distribution / Front Office

Manufacturing / Back Office Market Infrastructure

Individual

Institution

Inve

stin

g /

Wea

lth M

gmnt

Pe

rson

al

Savi

ngs

Lend

ing

Capi

tal

Raisi

ng

Source: based on illustration ‘Financial Services Value Chain Next Gen’ by Doug Nelson

Paym

ents

…Financial services unbundled and revisited

Independent, digital front ends API-driven middle- and back office

Electrification of market infrastructure

Independent, digital front ends and middle- and back office

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Predictive Services Let’s talk about big data

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715 MB DNA information in a

sperm cel

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105 million GB in an ejaculation

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95% of current Big Data is created in the

last 3 years

Volume Velocity

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Gartner Hypecycle

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Big Data no longer a hype

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The new technology gold rush: data

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It starts with… datamining

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From data to information, From information to intelligence

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Intelligence is value

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Deep dive in two big data opportunities

Cross channel ‘relevancy engine’

Real-time credit risk management

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Deep dive in two big data opportunities

Cross channel ‘relevancy engine’

Real-time credit risk management

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Forecasts project the past into the future. Thats reasonable

when nothing changes.

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“But don’t be a Turkey!”* 1000 and 1 Days in the Life of a Thanksgiving Turkey

*) Nassim Nicolas Taleb

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VW scandal: Final bill could reach

$55 billion

Did you predict this ‘black swan’?

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It’s about real-time data

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FICO Credit Scores: 15-20 variables

ZestCash: Thousands of indicators VS

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“All Data is Credit Data, we just don’t know

how to use it yet” DouglasMerrill–CEOZestFinance

(formerGoogleCIO)

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Watson has the cognitive capacity

to analyse unstructured data and make an immediate,

rational assessment of risk

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Deep dive in two big data opportunities

Cross channel ‘relevancy engine’

Real-time credit risk management

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Cross-channel ‘Relevancy Engine’

Observation (data &

information)

Trigger

(right message, right channel)

Interpretation (intelligence)

Reaction (call to action)

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Observations…

… in the de customer journey (also outside the borders of the organization!)

… in processes

… in transactions

… in the context

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Observation Interpretation Message Reaction

Via an API with the accounting software the bank has access

to the real-time financials, including rolling forecast of

Company X.

The financials indicate that the

agreed overdraft limit will be exceeded

within a few weeks.. Based on a

borrowing base related to

outstanding debtors and current ratio’s

Company X is eligible for an extra facility.

The CFO of Company X receives an alert on his smartphone with a binding offer for an

extra facility.

The CFO has the possibility to accept

the offer.

He also has also the possibility to contact

his relationship banker via (video)chat.

Better services & more sales with relevant & personal messages

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Observation (data &

information)

Trigger

(right message, right channel)

Interpretation (intelligence)

Reaction (call to action)

Cross-channel ‘Relevancy Engine’

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richness - +

confidential - +

urgent later now

relevant 1-n 1-1

intrusive - +

archive - +

richness - +

confidential - +

urgent later now

relevant 1-n 1-1

intrusive - +

archive - +

Message Channel

Match

Find the ideal match between message and channel

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Privacy as a currency

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Source: online survey Edelman ‘Brandshare’ 15.000 respondents in 12 countries

Privacy as a currency

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Awareness Orientation Buy Receive Use Service Advice Retention

Prerequisites for creating predictive services in commercial banking

360° customer view (Social-CRM) Workflow management Social listening / external data sources

Datawarehouse / realtime data Big data analytics / predictive modelling Digital marketing- & campaigns (inbound)

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PascalSpelier

ManagingConsultantDigitalCustomerExperience|

Banking&Insurance

Reykjavikplein1,Utrecht,TheNetherlands

Mobile:+31(0)[email protected]

Thank you!

@spelier www.slideshare.net/pascal.spelier www.linkedin.com/in/pascalspelier