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Alchemist – The Software for Norkom’s Solutions. What is Alchemist ?. Multiple Delivery Channels. Information Dissemination: Deliver Intelligence & Information where & when it is needed. Notification Technologie. Apply Intelligence. Algorithms for caching and optimising

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slide2

What is Alchemist?

Multiple

Delivery

Channels

Information Dissemination:

Deliver Intelligence &

Information where & when

it is needed

Notification

Technologie

Apply

Intelligence

Algorithms for caching

and optimising

data harvesting

Enterprise and Legacy data

alchemist design principles
Alchemist Design Principles
  • Modular in design and roll-out options
  • Robust & Open Technology Platform
  • Real-time and batch transaction monitoring
  • User-friendly, easy to use
  • Based on Web-enabled technology
slide4

Alchemist CRM

Intelligent Marketing Automation

norkom s view of crm

Dealers /

Competition

Media

Above the line

Below the line

In-bound

Out-bound

Internal

External

Web / Email

SMS

WAP

Billing

Direct Mail

Customer Care

Service Centres

Message Delivery

Opportunity Detection

Business Rule Application

Analysis

Creative

Management

By

Intelligence

Predictive

Internal

Message Management & Notification

Internal & External Intelligence Gathering

i2i hub

Descriptive

Brand

External

RoI

Market

Customer

Channel

Proposition definition & authorisation

Product

DOL

WAP

FoneCover

SMS

SpeakEasy

Personal

Business

Handset

Product & Service Design & Provision

Norkom’s View of CRM
where is value added and when

Dealers /

Competition

Media

Above the line

Below the line

In-bound

Out-bound

Internal

External

Web / Email

SMS

WAP

Billing

Direct Mail

Customer Care

Digifone Centres

Message Delivery

Opportunity Detection

Business Rule Application

Analysis

Creative

Management

By

Intelligence

i2i hub

Predictive

Internal

Message Management & Notification

Internal & External Intelligence Gathering

Descriptive

Brand

External

RoI

Market

Customer

Channel

Proposition definition & authorisation

Product

Product & Service Design & Provision

DOL

WAP

FoneCover

SMS

SpeakEasy

Personal

Business

Handset

Where is Value Added and When?

Provide a consistent message accross channels

Propose the right product

@ rigth time

@ the right customer/prospect

Identify new Value propositions based on enriched customer/prospects knowledge and market profiles

Full Leverage requires ability to drive product/services design according to findings

Learn from experience and drive Business process

slide7

Analysis and Customer Lifecycle

Profitability

Churn

Cross-

Sell

Fraud

Promotion

Winback

Customer Relationship Management - Micro

Credit

Scoring

Account Application

Rate Enquiry

Monthly Statement

Usage

Complaint

Upgrade

Exit

Customer Management

Customer entry

Customer Exit

Competitor Promotion

New Home

New Job

Marriage

Children

Retirement

Competitor Promotion

alchemist intelligence workbench features data mining suite
DESCRIPTIVE

Alchemist offers a comprehensive range of descriptive techniques including:

Association Rules

Kohonen Neural Network

K-means

Decision Trees – eg C4.5 (This can be viewed as both a descriptive and predictive technique)

Data audit tools

PREDICTIVE

Alchemist’s strong portfolio of predictive techniques includes:

Robust Regression

Naïve Bayes

Back Propagation Neural Network

Decision Trees eg. C4.5

Alchemist Intelligence Workbench FeaturesData Mining Suite
predictive modelling outputs of a predictive exercise
Predictive Modelling Outputs of a Predictive Exercise
  • Scored list
  • Model Contributions
  • Individual Contributions

T O’Reilly Ltd: Score = 0.9 from turnover=high and ave_contract_class=C

AR Building contractors Ltd: Score = 0.9 from turnover=low and ave_contract_class=R

use of information you have today and in the future

Location

Complaints

Letters

Call

Centre

Campaign

Interaction

Information

No.

Contacts

Dealer

Inbound

First/Last

Contact

Outbound

Use of information you have (today and in the future)

Billing

No. of

dropped

No. of

calls

Tenure

Dealer

No. Premium

Rate

No. of

Intl

Usage

Information

Customer

Information

Dependants

Intelligence

Workbench

No. of SMS

Occup

Price Plan

Insurance

Corporate

Handset

Dealer

Product

Information

Upgrades

Roaming

Discount

Pre/Post

supplemental

marketing automation
Marketing Automation
  • The Automation of the marketing task of managing intelligent contact with Customers
  • Closed Loop from Customer data through Modelling and Insight to Customer Contact
  • Customer Intelligence Capability: Modelling, Profiling & Model Management
  • Campaign Management: Batch, Event Driven and Real-Time contact with customers through all channels (Phone, DM, E-Mail, Call Centre etc.)
benefits of marketing automation
Benefits of Marketing Automation

Drive up response rates to campaigns

  • Timely and relevant customer offerings
  • Intelligence driven customer contact strategy
  • Easy selection of the right customer for right campaign
  • Better models driven by central contact and response repository
  • Optimise message and channel selection
  • Run 100 focused campaigns not 10 broad-brush campaigns

Drive down the cost of acquisition and conversion

  • Capture and report on campaign effectiveness
  • Optimal re-use of effective campaigns (learn by doing)
  • Reduce waste by contacting only ‘good’ prospects
alchemist marketing automation features
Alchemist Marketing Automation Features
  • Campaign Definition
    • Automatic customer list generation based on business theme being addressed (e.g. Cross-sell) taking into account
      • volumes, profiles, campaign content and channel
  • Automatic Campaign Execution
    • Execute across multi-channel environment while:
      • Achieving channel optimisation
      • Include necessary authorisation logic
  • Automatic Campaign Reporting
    • Review predicted vs. actual campaign performance
    • Understand customer to channel preference
    • Build product to customer profile by channel learning from

previous campaigns

slide17

Call Centre

Direct Sales

Channel

Broker /

Correspondent Channel

Direct Marketing

Web

mCommerce

- PDA, SMS,

WAP, Pagers

Operational CRM Platform

Enterprise Automated Marketing Platform

Predictive Applications

Intelligent Information Workflow

Campaign Management

Credit Risk

Prepayment Risk

Customer Retention

Cross-Sell

Life-time Value

Customer Acquisition

Channel Optimisation

Critical Business Issues

Demographic/

Marketing

Databases

Customer and Third

Party Information

Other Data Sources

- House Price Indices

- Pricing & Credit Data

Customer Database

- Mortgage Servicing Database

- Retail Bank Database

- Origination Database

- Marketing Database

- Solimar/Base100 - DataQuick

- CSW - Equifax

- MRAC - TRW

- MIC - Experian

- Acxiom InfoBase

- MITI

integrated solution for financial crime
Integrated Solution for Financial Crime
  • Alchemist for AML modules for
    • Case Management
    • Scenario detection engine
    • Customer Profiling engine
    • Advanced Name matching with prepopulated data dictionary and language rules
    • List management
    • Reporting and audit
    • Security and user administration
    • Real time and batch operation
    • Standard Interfaces
  • Automated 3rd party list integration
    • E.g. World Check
    • Provision of World Check list of PEP’s and Sanction lists etc.
alchemist configuration

!

Alchemist Configuration

Watch Lists

OFAC,

BOE

EU

World-Check etc

Manual Reporting

Dashboard

FIU Email & Fax

  • Business Rules
  • Unusualness Tests
  • Predictive Modelling
  • Network Analysis

Compliance

Workflow

Source Transactions

& Data

Alchemist

Data Model

Analysis &

Reporting

  • Watch List Monitoring
  • Watch List Rules

The Alchemist HUB

alchemist fraud functional architecture
Alchemist Fraud Functional Architecture

Alchemist AML

Analysis

&

Reporting

Case

Management

Name

Matching

Portal

Knowledge Base

Profiling & Segmentation Engine

Intelligent Agents

Alerts & Notification

Rules

Engine

alchemist name matching
Alchemist Name Matching
  • Data dictionary per country
  • Multiple character sets
  • Consolidated list management
    • From multiple sources
    • Sanction lists + PEP’s
    • External and internal lists
    • Automated list update and refresh
  • Fuzzy logic search capability
  • Support for multiple jurisdictions
  • Flexible audit and reporting capability
  • Integration with Alchemist Case Development, Workflow and reporting
search matching ability
Search & Matching Ability
  • peoples names
  • account or compound names
  • delivery or postal addresses
  • additional attributes
    • Covered by Population Rules
    • Covered by Language Rules
    • Covered by Character set Rules

regardless of spelling variation, phonetics, abbreviation, nicknames, missing or extra words, word sequence variation or data quality ….

with controllableperformance and response times

rules engine
Rules Engine
  • Detailed Rules – insurance, banking, investments
  • Flexible
  • Detect unusual behaviour for accounts and accounts in segments
  • Robust, scalable
  • Rules maintained by MLRO, not IT, easy to use
  • Operate automatically

Rule Triggers

Account

Transaction

Profiles

Suspicious Cases

Early policy cancellation in unusual circumstances

Cash Deposit, many ATM withdrawals

case management
Case Management
  • Rules that are triggered or predictions above thresholds create suspicious customer records.
  • Detailed customer profile and transaction history sourced
  • Several states:
    • Triggered, Monitored, Reported, Clear, Investigation
  • All cases are prioritised by further rules:
    • Historical activity/cases
    • Severity of rule Predictions
  • Full audit trail and security

Automatic Prioritisation

segmentation and risk scoring
Segmentation and Risk Scoring
  • Based on continuing behaviour, behavoural profile models are built/rescored for each account, trading house and/or company
    • Notification of ‘Unusual’ account / trading behavour
    • Client behavioural clustering / movement
    • Increase in business knowledge (client, house, market)
    • Early indication of equity trading outside ‘normal’ price bands
  • Based on historical records, predictive models for each segment are built
    • Propensity to exhibit market abuse activity scores created for each account
    • Allow for stastical tuning of business rules
fraud modules
Fraud Modules
  • Card Fraud
    • Debit Cards
    • Credit Cards
    • Skimming
    • Kiting
    • Devices
  • Branch Fraud
  • e-Banking Fraud
  • Identity Theft
  • Access Behaviour
  • Device Analytics
  • Tax Fraud
  • VAT Fraud
  • Insider trading
  • Market Timing
  • Loan Application Fraud
  • Loss recovery
  • Internal Fraud
slide28

Business Intelligence and

Performance Management

what are we trying to achieve
What are we trying to achieve?

We want to put in place an environment that facilitates proactive, strategic,business decisions at the appropriate level within Banks abd Telco’s by exploiting thedata contained intheir InformationSystems

BalancedScore Card

CustomerReport Card

CrossFunctional Analysis

INTELLIGENCE

On-Line Analytical Processing

INFORMATION

Subject Area Databases

Customer Segmentation

Micro-Marketing

On-Line Transactional Processing

DATA

Sales

External Customer Data

Marketing

Engineering……

Financial Data

event based reporting decisioning
Event-based Reporting / Decisioning

Portal

&

KPIs

  • Personalised
  • Digital Dashboard
  • Dedicated KPI Module

Analysis

& Reporting

Alchemist

Rules Engine

  • Executive Alerting
  • Survey distribution
  • Survey Collection
  • Alert Escalation

Balanced

Scorecard

Datamart

  • End-user Query
  • Production Reporting
  • OLAP Analysis

Alchemist

Agents

Alchemist

Intelligence

  • Simulated Business Modelling
  • “What-If” Analysis
  • Forecasting
  • Data Collection
  • Transformation
  • Data Loading
technology options
TechnologyTechnology Options

Technology Options

Web Server

IIS, Sun ONE, Oracle 9I AS Apache, Websphere, Weblogic

AML Application server

Apache Tomcat, Websphere, Weblogic, Sun ONE, Oracle 9I AS

AML Database

Oracle, DB2, SQLServer, Teradata, any JDBC compliant relational database

Operating system

SUN 2.6, 2.7 .28, IBM AIX 4.3 & 5.1, HP 11 & 11i, Microsoft 2000, NT 4

Client platforms

Standard Win98, WinNT, Windows 2000, Win XP desktop, IE5.5

alchemist standard options
Alchemist standard options
  • Supported Hardware
  • Supported Operating Systems
  • Supported Databases
hub based approach

Centralised AML Server

Group Network

Centralised Data Warehouse

Web Server

Operational Systems

External Data

Hub based approach