IBM Safer Payments Hands-On Technical Primer Training (V6.3)

• Introduction to Safer Payments Architecture
• Install Safer Payments and create service scripts
• Introduction to system configuration
• Examine mandator concept
• Introduction to user accounts and user roles
• Examine data import 
• Introduction to modelling concept
• Create a model for processing authorization transactions
• Simulate and test rules
• Invoke python callouts
• Export and import PMML models, and enable sampling techniques
• Introduction to Safer Payments rule generator
• Introduction to compliance list
• Introduction to reports in Safer Payments
• Introduction to Safer Payments case management

IBM Safer Payments users (System Administrators, Fraud Analysts, Fraud Investigators), IBM Lab experts, and IBM Business Partners.

• Must be familiar with Unix command line navigation and configuration actions
• Some familiarity with payment processing systems
• Familiarity with the concepts of clustering and network/firewall topics
• Familiarity and comfort with troubleshooting and problem determination processes

Introduction to Safer Payments  Architecture 

• Examine cluster concept
• Safer Payments Interfaces
• Failover concept

Install Safer Payments and create service scripts

• Install and set up a cluster of 3 Safer Payments instances
• Log in to Safer Payments user interface
• Start instances interactively
• Create service scripts to start Safer Payments instances

Introduction to system configuration

• Examine Safer Payments various system configuration settings
• Set or modify  settings 

Examine mandator concept

• Examine message computation flow
• Update existing mandator settings
• Add new sub mandators into the hierarchy 

Introduction to user accounts and user roles

• Define new roles
• Examine user account settings
• Create new user accounts and assign a role 

Examine data import

• Create Messages, Mappings, and Job scheduler to prepare import of data
• Configure and import masterdata as well as transaction data
• Send messages via online real-time interface 

Introduction to modelling concept

• Understand challenger and champion concept
• Examine model components
• Understand modelling workflow
• Review indexes and sequences 

Create a model for processing authorization transactions

• Create some fraud prevention rules manually
• Step through the various elements to create and promote new rules
• Examine profiling techniques
• Create Rules using profiling attributes
• Run investigation queries 

Simulate and test rules

• Configure data set for simulation
• Configure Analyses
• Run a simulation
• Examine Rule statistics 

Invoke python callouts

• Load Python scripts
• Invoke python function in preprocessing rules
• Use python function in rules
• Test function in simulation environment 

Export and import PMML models, and enable sampling techniques

• Export data of Safer Payments
• Import PMML files to ingest externally created models within Safer Payments
• Start simulation for a PMML model analysis
• Examine analyses results
• Activate and use sampling techniques 

Introduction to Safer Payments rule generator

• Examine semi-automatic rule generation with Safer Payments
• Understand how rule generator is slicing data to find rules 

Introduction to compliance list

• Examine difference between real-time and adhoc checks
• Create a blacklist and add entries
• Test the created blacklist 

Introduction to reports in Safer Payments

• Examine Transaction and Investigation Reports
• Create various Reports 

Introduction to Safer Payments case management

• Examine Case Investigation workflows and working queues
• Create case close codes and case states
• Define a case workflow
• Create a case and push it to the next case state in the workflow