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Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
Quiterian Ksf on advanced analytics for banking april 2011 eng
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Quiterian Ksf on advanced analytics for banking april 2011 eng

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Quiterian advanced analytics solution for banking

Quiterian advanced analytics solution for banking

Published in: Economy & Finance, Business
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  • 1. www.quiterian.com |   2011, April
  • 2. Introduction Meeting todays informational needs and anticipating the future  ones of the organization, shows not only a great strategic  vision, but the realization that Information is a valuable asset to  financial institutions in their mission to ensure and increase  their present value (especially true for Banks). Carlos Alvarez, Quiterian’s FS specialist © Quiterian 2011. All rights reserved
  • 3. BackgroundCurrent situation and main challenges• Crisis has prompted many Banks and Savings Banks in Spain  to offer real estates and assets(apartments, houses,  garages) at interesting prices, discounts or favorable credit  terms.• These assets, from mortgage defaults by their customers or  real estate companies, are a burden on entities that look at  how these risky assets affect their market value and ratings.• At present, Banks and Savings Banks must meet the new  capitalization requirements issued by the Bank of Spain.• The capital requirements of some Savings Banks and Banks  to meet the new solvency requirements have increased,  and these assets bring to entities greater difficulties to  reach them. © Quiterian 2011. All rights reserved
  • 4. The Role for Advanced Analytics• To succeed in selling the properties on the market, Banks and  Savings Banks need to know which customers to target for running  promotional and marketing campaigns.• Have a buyer profile of customer who have bought in the past,  helps companies to know which of their current  customers/prospects meet this profile, being able to perform  actions in order to do cloned sales.• Knowing how are their potential buyers (and how not) allows  organizations to react quickly and better target their sales activities  with greater efficiency and effectiveness.• Advanced Analytics and predictive analysis facilitate immediate  action and intervention in data processing and exploitation of key  information for Business Productivity and Business Development. © Quiterian 2011. All rights reserved
  • 5. Self‐service and Agile BI: DDWeb Financial Institutions: Banking Industry Maximum value and rigor for Data DDWeb lets Financial Institutions advance their knowledge of customers, quickly from the collection of data, easy navigation and detailed analysis. The validation of data for official reporting is easier and can generate valuable information. Banking Solutions Customer growth and retention Campaign management Cross/Up‐selling strategies Fraud prevention Data Quality improvement Advanced Web Analytics © Quiterian 2011. All rights reserved
  • 6. Self‐service and Agile BI: DDWeb Financial Institutions: Banking Industry Advanced Analytics and Predictive Analysis Benefits Customer knowledge: their  behavior, trends and profiles. Valuable information for business  development: customer churn  prediction, cross‐selling  opportunities, best products to  RSelections and segmentation of  recommend. customers and prospects instantly. Detect anomalies, early warning of  React just in time with the most  risk of fraud. effective decisions, anticipating events. 360º Analytical view about  customer information, products  Provides a long term forecast and  and services. detects customer value loosing soon. © Quiterian 2011. All rights reserved
  • 7. Selling real state assets6 Steps to build a successful strategy using Quiterian DDWeb1. Identify from customer base the right segment (based on business rules) to include them as the  target of the campaign. We will do this using a Venn Diagram to select customers who meet  these criteria.2. Determine profiles or behavioral features of customers who have bought properties before  through the technique Profile.3. Puts advanced analysis techniques into practice with the aim of identifying the relevant variables  that best describe the buyers and which don’t – Profiling can help on this topic. It tells us how the customers forming this group are and how they are not, what is typical from  them, what makes them different, in which geographical areas it is more likely to find them,... 4. Easily and quickly, we apply the target segment by dragging it to the predictive technique of  Decision Tree, that will predict within few seconds which other customers will behave the same  way or will show “buyer pattern”. 5. Once the process of managing potencial buyers is over, iWorkflow makes it possible to automate  this flow in order to put the learnt experience into practice. Create a business rule that would  make the same calculation but systematically, with the regularity we decide to establish.  6. Finally Campaign Workflow lets us plan and start groups of equal or different actions on each one  of the different groups of potential customers.  © Quiterian 2011. All rights reserved
  • 8. THANKS www.quiterian.com Advanced Analytics for Key Success Factors on Banking Industry Carlos Álvarez Account Manager (+34) 662 64 71 41 calvarez@quiterian.comwww.quiterian.com |   2011, April

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