20151009 presentation predictive banking
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Transcript of 20151009 presentation predictive banking
Innovation Bootcamp Commercial Banking Pascal Spelier, October 9th 2015
Predictive Banking, Two Steps Ahead
2
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…
3
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
17
Deep dive in two big data opportunities
Cross channel ‘relevancy engine’
Real-time credit risk management
18
Deep dive in two big data opportunities
Cross channel ‘relevancy engine’
Real-time credit risk management
20
“But don’t be a Turkey!”* 1000 and 1 Days in the Life of a Thanksgiving Turkey
*) Nassim Nicolas Taleb
24
“All Data is Credit Data, we just don’t know
how to use it yet” DouglasMerrill–CEOZestFinance
(formerGoogleCIO)
32
Watson has the cognitive capacity
to analyse unstructured data and make an immediate,
rational assessment of risk
33
Deep dive in two big data opportunities
Cross channel ‘relevancy engine’
Real-time credit risk management
34
Cross-channel ‘Relevancy Engine’
Observation (data &
information)
Trigger
(right message, right channel)
Interpretation (intelligence)
Reaction (call to action)
35
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
40
Observation (data &
information)
Trigger
(right message, right channel)
Interpretation (intelligence)
Reaction (call to action)
Cross-channel ‘Relevancy Engine’
41
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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Source: online survey Edelman ‘Brandshare’ 15.000 respondents in 12 countries
Privacy as a currency
45
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)
47
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