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Retail Banker International Roundtable

Venue Andaz Hotel, Liverpool Street, London

Date 02 July 2015

INVITATION TO ROUNDTABLE – THURSDAY 2nd JULY 2015
ANDAZ HOTEL, LIVERPOOL STREET, LONDON

How can banks harness the power of Big Data? – Unravelling the Puzzle

The value of Big Data in the Financial Services Industry is set to reach over £6 billion within the next few years, however banks are currently lagging behind organizations such as Google, Amazon and Facebook. The challenge for banks lies in how to harness the potential of Big Data, not only how to manage this vast amount of information but how to apply the latest analytical tools that will provide insight and opportunities to customers behavior and if they can get this right how it will provide a better fit of product to the customer, improved profitability and reduced risk.

This round table/seminar will examine how digital is impacting the processing of large volumes of data and facilitating predictive and prescriptive analytics to put banks in a proactive position to respond to customers future needs, we will also look beyond customers current requirements and discuss how data analysis will enable banks to influence their customers and provide better advice to customers.

Timetric’s flagship banking publication Retail Banker International has joined forces with Infosys, the global leader in consulting, technology, and outsourcing solutions to host an invitation-only business roundtable/seminar followed by drinks and canapés.

Issues we will be discussing include:

  • How can banks optimize the use of customer data while tackling customer concerns over privacy issues?
  • Which issues have prevented banks being unable to exploit Big Data to date, e.g organizational silos, dearth of analytics talent, high cost of data management, lack of strategic focus?
  • How do banks meet the technical challenges arising from ageing and complex legacy issues?
  • A number of banks have started to use information available about customers on social media when determining loan applications; what issues arise from such an approach?
  • Is there scope for banks to partner with retailers to offer personalized discounts to customers based on an individuals’ spending patterns?
  • How can banks reduce business risk by leveraging predictive analysis for detecting fraud?
  • Which are the new skill sets needed by banks to benefit from Big Data analytics?
  • How can banks secure customer data from fraud through predictive behavioral and device analytics?
  • What does Omni-channel banking, concierge services and neo-banking mean?

When: 
Thursday 2nd July
Registration 14.30-15.00
Roundtable 15.00-17.15
Post-event drinks 17:15 – 18:00

Where: 
Fenchurch Suite, Andaz Hotel, Liverpool Street, London EC2M 7QN

How:
This is an exclusive forum and there are limited spaces at the table, so to secure your spot, please contact Hind Shubber on: hind.shubber@timetric.com  Or call +44 (0) 203 096 2575


This is an exclusive forum and there are limited spaces at the table, so to secure your spot please contact:

Carlo Mancini
carlo.mancini@timetric.com
or call T: +44 (0) 203 096 2582


Andaz Hotel, Liverpool Street, London
andaz1.jpg

Andaz Liverpool Street Hotel is one of the city of London’s most prominent conference and meeting venues. The historic hotel setting, which has been renovated to boast both stunning modern and classic interiors, provides a diverse range of event and meeting rooms from grand Victorian, to modern and bespoke,

Fenchurch Suite, Andaz Hotel, Liverpool Street, London EC2M 7QN


infosys1f.jpg

Event Partner

Infosys Finacle

http://www.infosys.com/


ELIGIBLE INSTITUTIONS FOR THE RETAIL BANKER INTERNATIONAL ROUNDTABLE INCLUDE:

Agenda – 15.00-17.15

  • How can banks optimize the use of customer data while tackling customer concerns over privacy issues?
  • Which issues have prevented banks being unable to exploit Big Data to date, e.g organizational silos, dearth of analytics talent, high cost of data management, lack of strategic focus?
  • How do banks meet the technical challenges arising from ageing and complex legacy issues?
  • A number of banks have started to use information available about customers on social media when determining loan applications; what issues arise from such an approach?
  • Is there scope for banks to partner with retailers to offer personalized discounts to customers based on an individuals’ spending patterns?
  • How can banks reduce business risk by leveraging predictive analysis for detecting fraud?
  • Which are the new skill sets needed by banks to benefit from Big Data analytics?
  • How can banks secure customer data from fraud through predictive behavioral and device analytics?
  • What does Omni-channel banking, concierge services and neo-banking mean?

17.15 Networking Drinks


Thank you for attending the conference.

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