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PREDICTIVE ANALYTICS IN THE FINANCIAL INDUSTRY –
THE ART OF WHAT, HOW AND WHY
4pm CET Wednesday 15 June, 2016
The webinar will begin shortly. Until this time, there will be no audio.
The participants will be muted to avoid the background noise.
WELCOME TO MOBEY FORUM’S
WEBINAR
MOBEY FORUM- STAYING AHEAD OF THE CURVE
FOCUS 1-5 YEARS AHEAD01
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04
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As a global industry association, our aim is to empower banks and other financial institutions by bringing them together to talk in an open atmosphere, where sharing and networking is encouraged.
We are not out to sell you anything, or even to make profit.
WE ANALYZE BUSINESS STRATEGIES AND TECHNOLOGIES
WE IDENTIFY COMMERCIAL DRIVERS AND DISRUPTORS
OPEN CONVERSATION ON CHALLENGING MATTERS AND COMPLICATED TOPICS CREATE INSIGHTS THAT MONEY CANNOT BUY
Sirpa Nordlund, Executive Director | [email protected] | Tel. +358 40 568 3436 | www.mobeyforum.org
“A technology that learns from experience (historical data) to predict future behaviour,
in order to drive better decisions”
Predictive Analytics
THE WHY…
Digitization
Relationship
• Growing expectations regarding service and relevance
• The perfect communication channel is already created
• Digitization increased the number of potential data sources
• Upcoming changes in regulation will create new areas of competition
Why this is the right time for predictive analytics for FIs?
Customer Expectations
Smartphone
Data Sources
Competition/Regulation
THE WHAT…
From ‘What happened’ To ‘What will happen’?
From ‘What happened’ To ‘What will happen’?
Every manager should understand the three components of predictive analytics
The Statistics The AssumptionsThe Data
The data
It’s about using (high quality) data, not about size
The statistics
The assumptions
THE HOW…
Predictive analytics brings value to business…
Commerce Risk Operations
• Next best action
• Pricing
• Churn analysis
• Pricing
• Risk assessment
• Fraud detection
• Pred. maintenance
• Claim handling
• Predictive HR
Predictive analytics brings value to business…
Commerce Risk Operations
• Next best action
• Pricing
• Churn analysis
• Pricing
• Risk assessment
• Fraud detection
• Pred. maintenance
• Claim handling
• Predictive HR
The right actionat the right momentvia the right channelwith the right tone of voiceto the right customer
The ten challenges on the predictive analytics lifecycle
Data Management 1. Data collection & ownership
2. Data governance
3. Data quality
Analysis & Modeling 4. Skills
5. Tooling
6. Acceptance
Deployment & Fulfillment 7. Frictionless service
8. Customer’s perception
9. Sanity checks
10. Technology
Collecting Data
Tooling
Sanity checks
HOW TO START
Think Big
Think Big
But start small, multi-disciplinary,
and start now!
SPECIAL THANKS TO THE WORKGROUPCO-CHAIRS OF THE WORKGROUP EDITOR
Kasper Sylvest DanskeBank Nick Jetten VODW
Amir Tabakovic BigML
Members: Jonathan Atkinson Fiserv
Couchon Benoît Worldline
Bent Bentsen DNB
Ivan Bracic Infobip
Michel-Ange Camhi Worldline
George Charalambous HSBC
Joaquim Costa SIBS
Lars Henrik Dahl Nets
Janis Dirveiks Nordea
Yuri Grin Intervale
Douglas Hartung Diebold
Markus Iofcea UBS
Felipe Lopez Tecnocom
Neil McDonald Sequent
Anna Mialet CaixaBank
Oriol Nunez CaixaBank
Krisztian Otlakan Erste Group Bank
Stefan Piel UBS
Maurizzio Poletto Erste Group Bank
Oscar Sala Palomes CaixaBank
Ville Sointu Ericsson
Jukka Yliuntinen Giesecke&Devrient
André Zölch Postfinance
THANK YOU FOR ATTENDING THE WEBINAR
For further information on Mobey Forum please visit us at www.mobeyforum.org
If you have a media enquiry as follow-up to this webinar, please contact iseepr on +44 (0)1943 468007 or email [email protected]
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