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    IBM Safer Payments Technical Primer v6.9

    4 Presencial-Remoto €2870.00

    Descripción

    In this course, technical resources that will be involved in any aspect of deploying, customizing, and implementing the Safer Payment solution will get a hands-on overview of the product. Students will get an understanding of how to install, configure, and setup the system for Analysts as well as basics on system administration.

     

    Objetivos

    • Install and configure a Safer Payments cluster (Linux environment)
    • Understand how to ingest and map data into Safer Payments
    • Understand the cluster architecture of Safer Payments
    • Set up Safer Payments for real-time processing of messages
    • Manually configure rules including profiling
    • Run simulations to test rules
    • Set up case investigation to create and investigate alerts

    Audiencia

    • External: Fraud Analysts, Application and System Admins managing Safer Payments
    • Internal: IBM Lab Services, IBM Support, IBM Technical Pre-Sales and IBM Business Partners

    Prerrequisitos

    • 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

    Temario

    Day 1: Installation, cluster configuration, and system configuration

    • Introductory Overview of Safer Payments
    • SP Cluster Architecture (Interfaces and Redundancy)
    • Installing Safer Payments
    • Mandator Hierarchy
    • User Roles and User Accounts

    Day 2: Data Dictionary and Batch Data Import

    • Revision concept
    • Introduction to SP’s data model
    • Data storage and retention
    • Masterdata
    • Data ingestion and data formats
    • Merging

    Day 3: Modelling in Safer Payments

    • Modelling in Safer Payments – An introduction and basic concepts
    • Behavior Profiling
    • Manually creating rules
    • Testing and simulating rules
    • Python callouts
    • External Modelling
    • Sampling

    Day 4: Compliance lists, Case Investigation, and Reports

    • Rule Generator
    • Internal Random Forest
    • Compliance Lists
    • Defined Risk Lists
    • Reports and query functionality
    • Case Management and Case Investigation 

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