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Analytics in Banking:
Using Customer Profitability Analytics to
Enhance Financial Performance




                                      © 2013 IBM Corporation
Q&A   Resources   Help




                         © 2013 IBM Corporation
Live Demonstration: IBM Customer
Profitability Analytics


Wednesday 10th April 2013 at 12:00 PM ET

Hosted by: Owen Kimber
Global Financial Services Solution Leader
IBM Business Analytics



                     Learn more and register



                                               © 2013 IBM Corporation
Using Customer Profitability Analytics to
Enhance Financial Performance


 Frank McKeon, Banking and Financial Markets
  Industry Executive, IBM Business Analytics
 David McNab, Senior Managing Consultant, IBM
  Global Services
 Farhana Alarakhiya, Director, Industry Solutions,
  IBM Business Analytics




                                                      © 2013 IBM Corporation
The new normal…

 Higher costs and complexity
 Regulation and governance
 Increased risk
 Scarce capital
 Demanding customers: more empowered and less
  loyal




                                                 © 2013 IBM Corporation
According to a joint study by MIT Sloan and IBM…

   Organizations that put analytics into action are more
    likely to substantially outperform their competitors

                          Organizations that lead in analytics

             3x           outperform those that are just
                          beginning to adopt analytics


                          Top performers are more likely to
           5.4x           use an analytic approach over
                          intuition



                                                                 © 2013 IBM Corporation
Mary


 Checking: $5,000
 Money Market: $30,000
 Retirement $250,000
 Average Credit Card
  Balance: $5,000
 Mortgage: $250,000




                          © 2013 IBM Corporation
Jeremy


 Checking: $4,000
 Money Market: $28,000
 Retirement $175,000
 Average Credit Card
  Balance: $10,000
 Mortgage: $245,000




                          © 2013 IBM Corporation
Are they really the same?



                            © 2013 IBM Corporation
Mary


 Age: 38
 Income: $80,000
 Lives in Chicago
 Married with one child
 Assistant Controller
 Channel preferences:
  web & mobile




                           © 2013 IBM Corporation
Jeremy


 Age: 36
 Income: $80,000
 Lives in Boston
 Single
 Systems Analyst
 Channel preferences:
  branch, phone




                         © 2013 IBM Corporation
690   580




            © 2013 IBM Corporation
How do we measure profitability?




Fund Transfer   ABC Costing &   Risk Based   Economic
                  Expense         Capital
   Pricing
                 allocations    Allocation     value




                                                 © 2013 IBM Corporation
Customer Views                                              Hierarchal Views
                                                Business Unit          Product         Other
                                                / Geography


Household

Customer

Account



                             Non-Hierarchal Views

                                                         1/6/2009



            Industry   Currency   Account   Collateral    Date      Credit Status
                                  Officer


                                                                                    © 2013 IBM Corporation
Implementing Customer Profitability
Analytics




                                      © 2013 IBM Corporation
Implementing customer profitability
analytics
 With good foundation, implementation less than one
  year
 Leading banks adopt a process of continuous
  improvement




                                                       © 2013 IBM Corporation
Critical success factors

 Executive sponsorship
 Vision for using customer profitability information
 Quality infrastructure




                                                        © 2013 IBM Corporation
Remain current

 Most banks adopt a monthly cycle
 Customer profitability analytics must keep up with
  constantly changing business
 Repeatable, efficient maintenance process is
  mandatory




                                                       © 2013 IBM Corporation
Turning insight into action

 Produce and manage centrally
 Deliver to the point of impact
 Make sure the information can be trusted
 Package to meet differing needs across the
  business




                                               © 2013 IBM Corporation
#1 factor for building
     the business case


     Create value
           for
     business users


                         © 2013 IBM Corporation
Success at Banco Itaú Argentina




                                  © 2013 IBM Corporation
Banco Itaú Argentina

   One of the world’s largest financial institutions
   45 million clients
   104,000 employees
   4900 branches
   30,000 ATMs
   $360 billion in assets




                                                        © 2013 IBM Corporation
Banco Itaú Argentina

   Increase customer satisfaction
   Maximize profitability
   Optimize cross-selling and acquisition strategies



 The right offer…for the right client…
 at the right time…through the right channel…
 and at the correct price



                                                        © 2013 IBM Corporation
Four phase implementation approach

  1. Predictive models to identify customers most
     likely to respond
  2. Automated cross-selling system to anticipate
     next best offer
  3. Sales optimization system that measures
     expected revenues and cost of making the sale
  4. Enterprise feedback management system with,
     which allows customized dialog and
     personalized product offers



                                                     © 2013 IBM Corporation
Banco Itaú Argentina: Results




    40%                         60%
    revenue increase            margin increase
    from existing customers     from retail customers




                                                        © 2013 IBM Corporation
Q&A

      © 2013 IBM Corporation
Live Demonstration: IBM Customer
Profitability Analytics


Wednesday 10th April 2013 at 12:00 PM ET

Hosted by: Owen Kimber
Global Financial Services Solution Leader
IBM Business Analytics



                     Learn more and register



                                               © 2013 IBM Corporation

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IBM Banking videocast - 3/20/2013

  • 1. Analytics in Banking: Using Customer Profitability Analytics to Enhance Financial Performance © 2013 IBM Corporation
  • 2. Q&A Resources Help © 2013 IBM Corporation
  • 3. Live Demonstration: IBM Customer Profitability Analytics Wednesday 10th April 2013 at 12:00 PM ET Hosted by: Owen Kimber Global Financial Services Solution Leader IBM Business Analytics Learn more and register © 2013 IBM Corporation
  • 4. Using Customer Profitability Analytics to Enhance Financial Performance  Frank McKeon, Banking and Financial Markets Industry Executive, IBM Business Analytics  David McNab, Senior Managing Consultant, IBM Global Services  Farhana Alarakhiya, Director, Industry Solutions, IBM Business Analytics © 2013 IBM Corporation
  • 5. The new normal…  Higher costs and complexity  Regulation and governance  Increased risk  Scarce capital  Demanding customers: more empowered and less loyal © 2013 IBM Corporation
  • 6. According to a joint study by MIT Sloan and IBM… Organizations that put analytics into action are more likely to substantially outperform their competitors Organizations that lead in analytics 3x outperform those that are just beginning to adopt analytics Top performers are more likely to 5.4x use an analytic approach over intuition © 2013 IBM Corporation
  • 7. Mary  Checking: $5,000  Money Market: $30,000  Retirement $250,000  Average Credit Card Balance: $5,000  Mortgage: $250,000 © 2013 IBM Corporation
  • 8. Jeremy  Checking: $4,000  Money Market: $28,000  Retirement $175,000  Average Credit Card Balance: $10,000  Mortgage: $245,000 © 2013 IBM Corporation
  • 9. Are they really the same? © 2013 IBM Corporation
  • 10. Mary  Age: 38  Income: $80,000  Lives in Chicago  Married with one child  Assistant Controller  Channel preferences: web & mobile © 2013 IBM Corporation
  • 11. Jeremy  Age: 36  Income: $80,000  Lives in Boston  Single  Systems Analyst  Channel preferences: branch, phone © 2013 IBM Corporation
  • 12. 690 580 © 2013 IBM Corporation
  • 13. How do we measure profitability? Fund Transfer ABC Costing & Risk Based Economic Expense Capital Pricing allocations Allocation value © 2013 IBM Corporation
  • 14. Customer Views Hierarchal Views Business Unit Product Other / Geography Household Customer Account Non-Hierarchal Views 1/6/2009 Industry Currency Account Collateral Date Credit Status Officer © 2013 IBM Corporation
  • 16. Implementing customer profitability analytics  With good foundation, implementation less than one year  Leading banks adopt a process of continuous improvement © 2013 IBM Corporation
  • 17. Critical success factors  Executive sponsorship  Vision for using customer profitability information  Quality infrastructure © 2013 IBM Corporation
  • 18. Remain current  Most banks adopt a monthly cycle  Customer profitability analytics must keep up with constantly changing business  Repeatable, efficient maintenance process is mandatory © 2013 IBM Corporation
  • 19. Turning insight into action  Produce and manage centrally  Deliver to the point of impact  Make sure the information can be trusted  Package to meet differing needs across the business © 2013 IBM Corporation
  • 20. #1 factor for building the business case Create value for business users © 2013 IBM Corporation
  • 21. Success at Banco Itaú Argentina © 2013 IBM Corporation
  • 22. Banco Itaú Argentina  One of the world’s largest financial institutions  45 million clients  104,000 employees  4900 branches  30,000 ATMs  $360 billion in assets © 2013 IBM Corporation
  • 23. Banco Itaú Argentina  Increase customer satisfaction  Maximize profitability  Optimize cross-selling and acquisition strategies The right offer…for the right client… at the right time…through the right channel… and at the correct price © 2013 IBM Corporation
  • 24. Four phase implementation approach 1. Predictive models to identify customers most likely to respond 2. Automated cross-selling system to anticipate next best offer 3. Sales optimization system that measures expected revenues and cost of making the sale 4. Enterprise feedback management system with, which allows customized dialog and personalized product offers © 2013 IBM Corporation
  • 25. Banco Itaú Argentina: Results 40% 60% revenue increase margin increase from existing customers from retail customers © 2013 IBM Corporation
  • 26. Q&A © 2013 IBM Corporation
  • 27. Live Demonstration: IBM Customer Profitability Analytics Wednesday 10th April 2013 at 12:00 PM ET Hosted by: Owen Kimber Global Financial Services Solution Leader IBM Business Analytics Learn more and register © 2013 IBM Corporation