1 MICROSOFT READY LAUNCH TOUR 2005 Metropolitan Palace Hotel – Beirut November 9 th 2005...

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MICROSOFT READY LAUNCH TOUR 2005Metropolitan Palace Hotel – Beirut

November 9th 2005

FRANSABANK - PROGRESS REPORTFRANSABANK - PROGRESS REPORT

Raed H. CharafeddineAssistant General Manager

Head of Branch Network

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Presentation Outline1

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Bank Overview

What we want from Data Warehousing

Project Phases

Existing Core Banking Architecture

Modules Year One – Year Two

3 Understanding our Data/Desired Requirements

4 Decision Criteria

8 Customer Questionnaires Project

9 BI Report Examples – AML

Understanding our Data/Desired Requirements

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1 .Bank Overview• 11stst Bank to be established in Lebanon (1921) Bank to be established in Lebanon (1921)• Fransabank is one of the leading banks in Lebanon Fransabank is one of the leading banks in Lebanon • Provides a wide range of commercial , private banking as Provides a wide range of commercial , private banking as

well as retail banking products & serviceswell as retail banking products & services

• Fransabank Corporate Values: Integrity, Customer Focus, Fransabank Corporate Values: Integrity, Customer Focus, Professionalism, Team workProfessionalism, Team work

• Fransabank Group Network:– 54 Branches in Lebanon – Affiliated Company: Bancassurance sal, a life insurance company

founded with Prédica, the insurance arm of the Crédit Agricole - France. – Abroad: One Branch: Damascus Free Zone – Syria– Two Branches underway in Algeria & Sudan– Representative Office: Cuba– Subsidiaries: Fransabank (France) sa – Paris, Fransa Invest Bank,

Banque de la Bekaa sal, Lebanese Leasing Company sal, Société Générale Foncière sal

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2. Fransabank Existing Core Banking Application

• Fransabank has several applications related to its IT infrastructure, mainly:

Banking Insurance Credit CardsCRM & Call CenterHuman ResourcesCredit InformationSwiftSpeed Cash

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3. Status of our Data as of May 2005

• Time to get new reports is excessive;

• Data exists but is very difficult to reach;

• Reports are paper based - not interactive;

• Little customer segmentation capability;

• Inflexible reporting tool accesses information from multiple sources(branches productivity & customer profitability, etc…).…).

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3 .Desired Requirements Improve access to both summarized and detailed information across departments

(e.g. General Ledger data down to client and transactions data, …) in order to produce our own reports;

Simplify and reduce the time it takes to produce and distribute Key reports (e.g. monthly, quarterly accounting reports and annual financial statements …);

Filter data interactively to achieve our specifically-desired results (e.g. transaction date or data range, specific branch, specific channel, even specific

customer and customer segments …);

Extract report data to other tools such as Excel (for re-processing) or to OLAP for further advanced mining, etc… ;

Have predefined reports available at a click and to be able to run ad-hoc queries and analysis;

Drill-Down and Drill-through capabilities to move from information at the corporate level to specific customer transaction information in three clicks.

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4. Criteria for choosing a Business Intelligence (BI) System

1. Find a best fit (Quality/Cost) Solution since all Fransabank Data needs to be organized and structured for a completely integrated, 360-degree view of our business;

2. A Solution that will allow the Bank to start exploring our data and benefiting from analysis;

3. A solution that can be tailored to Fransabank’s processes and not Vice Versa.

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4. Criteria for choosing a BI System (continued)

4. Be able to implement BI and data mining capabilities;

5. Enable the Bank to access data on an enterprise level;

6. Illuminate business issues around data:• Define the Reporting Requirements

• Improve Operational Efficiencies

• Expose actionable data to business users

• Train bank personnel to use and support the data

warehouse.

7. Integrate with our existing core banking and operational systems.

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BI Solutions do not come in boxes

After looking into avariety of solutions, we found thatout-of-the-box BI solutions cannot meetour Bank’s unique and individual circumstances orrequirements.

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Transactions

Data Warehousing integrates data from various internal transaction processing systems and external data sources to meet our organization’s analytical processing and business intelligence needs.

5 .What we want from Data Warehousing• The process of discovering and delivering information that advances our decision

making, improves our business practices, and enables knowledge workers.

Data Warehousin

g

Operational Data Store

BI

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5. Data Warehousing should Not be “Just Information Storage”

It is a strategic business tool that can help us:

• Better manage and analyze our data;• Understand and get closer to our customers;• Make critical decisions better and faster;• Improve in managing our delivery channels;• Evaluate where our Bank is today, and

where it can go tomorrow.

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BACK OFFICEBACK OFFICE

Business

Applications

Data Stores

Customer / Prospect / Employee

Touchpoints

FRONT OFFICEFRONT OFFICE

DATA WAREHOUSE & OPERATIONAL DATA STORES

BACK OFFICEBACK OFFICEBACK OFFICEBACK OFFICE

Credit Card Core Banking

Application

Insurance

TREASURYFinance,

Accounting,procureme

nt, HR

BROKERAGE/ FUNDS

MGT

MAIL

• Leads • Electronic • Fax

FACE-TO-FACE SELF SERVICE

• PDA’s • Branch• Handhelds •

Tablets

Integrated Touch points

TELEPHONY

• IVR • CTI• ACD • VRU

FRONT OFFICEFRONT OFFICEFRONT OFFICEFRONT OFFICE

Future

SELF SERVICE

DATA WAREHOUSE & OPERATIONAL DATA STORES

• Web • Kiosks • Internet Banking

Leads Opportunities Customers Interactions

• IVR • CTI• ATM • ACD•

VRU

FRONT OFFICEFRONT OFFICE

TELEPHONY

Now

Sales Workbench

•Opportunity Management

•Proposal Generation

•Marketing Encyclopedia

•Configuration & Pricing

•Tele Sales

•Management Analytics

Marketing Workbench

•Campaign Management

•Content Management

•Interactive Marketing

•Database Marketing

•Data Mining

•Management Analytics

ServiceWorkbench

•Case Management

•Help Desk

•Dispatch

•Routing

•Scheduling

•Management Analytics

Fransabank Application Architecture coverage overview: Existing and target

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6 .Data Warehouse Project Phases May – November 2005

1. Project Scope Presentation

2. In-depth JAD / Working Sessions

3. Interviews with Managers & Staff

4. Inventory Report

5. Analysis Phase

6. BI implementation : First Module + QA Test

7. BI Delivery

8. User Acceptance Test

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7. Modules for Fransabank – Year One Reporting (Example at the End)

Data Warehousing

Data mining reports – Year One

Customer Profile and Segmentation Manager

Anti-Money Laundering

Fuzzy-logic Search Engine for Black Lists

Lifetime Value Module

Customer Profitability Analyst

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7 .Modules for Fransabank – Year Two

Data Mining Reports

• Churn Augur Module

• Marketing Campaign Response Analyst

• Credit Risk Analyst

• New Customer Prospector

• Profit Tracker

• Cross-Sell / Up-Sell

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8 .Customer Questionnaires (CQs) Project• Parallel to the DW Project, Fransabank has

launched a Project aiming at updating all the information on our customer files to better target our services and cater to the clients’ needs.

• This new, clean and updated information will be extracted from our System into the Data Warehouse in order to get up-to-date reports.

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9. Fransabank: AML Live

• Anti-Money Laundering Reports - Examples Anti-Money Laundering Reports - Examples

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BI Report Example: Cross-Region Analysis

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BI Report Example: Cross-Region Analysis by Region

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BI Report Example: Cross-Region Analysis by Region

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BI Report Example: Customer Segmentation

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