predicting banking

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Predicting banking

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Jan 2012 review of the pressures and opportunities in the finance industry

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Page 1: Predicting banking

Predicting banking

Page 2: Predicting banking

Background•The crash

•Braying bankers, bonuses and clusterbombs

•Too big to fail/bailed out

•Public sentiment plummets

•Regulatory response/ Project Merlin

•(Slow) Divorce of retail & investment

Page 3: Predicting banking

The pressures

•Occupy Wall St/The 1%

•Bank as more than a business (economy/politics)

•Social customers

•Compassionate capitalism

•Drive to increased regulation

•Disruptive tech

Page 4: Predicting banking

How will banks respond?

•Fight regulation vs. Adapt and develop

•Short term - lower profits, job cuts (as I write this, Sky have announced Barclays Tech are cutting 400 jobs), cost cutting

•The death of the branch

•Long term - focus on retail and differentiation (market segmentation)

•New ways of adding value or ‘just another utility’

Page 5: Predicting banking

What are banks like?

• Public but hidden (retail vs trading)

• Short-termist - profit beats service

• Slow

• Silo’d

• Locked down

• Risk averse (with customers)

• Challenged by regulatory and security implications of web

• Legacy tech/systems

Page 6: Predicting banking

Where are they now?•Making a nod towards social

•Realise its not just marketing

•Customer service on Twitter

•But no deeper customer service commitment

•Want to be engage/collaborate but still locked down

•Entry point is middle mgmt - retail bank digital comms, PR and marketing

•Where are the CEOs/COOs?

•But....

Page 7: Predicting banking

Banks and social

First Direct Labs

Amex OPEN Forum

Page 8: Predicting banking

A social bank?

Page 9: Predicting banking

The rise of disruptive tech

Page 10: Predicting banking

Personal finance management (PFM)

see also: Meniga, Mint, Readyforzero...

Page 11: Predicting banking

Mobile (payments and banking)

Page 12: Predicting banking

P2P

see also: Zopa, RateSetter, Kiva...

Page 13: Predicting banking

Alternative currencies

see also: Lewes Pound/Chiemgauer, Facebook credits...

Page 14: Predicting banking

Tablets

see also: Standard Chartered Breeze, Citibank for IPad, ...

Page 15: Predicting banking

Loyalty

see also: Amex LinkLikeLove...

Page 16: Predicting banking

Rewarding influence

see also: Movenbank CRED score...

Page 17: Predicting banking

Big data

• “Banks spend millions trying to understand how customers interact across multiple products and touchpoints. Now we are looking at world where you move from transaction to interaction — which pages do they spend time on, what accounts do they have with other banks? Big data can help with customer sentiments and give access to the customer across all the touchpoints the bank has with them.”

see also: predicting markets, minimizing risk...

Page 18: Predicting banking

The challenge•What tools and systems can we create

to, personalize, transform and add value to banking services without requiring banks to alter their core systems or get IT involved

Page 19: Predicting banking

Areas of opportunity

•Personal banking

•Business banking

•Payments

•Investment (?)

•Innovation support (why, how, what)

•Engagement support

•Internal comms

•Others?