Explore/Academy/Treasury Technology & Systems
FREE IN-DEPTH COURSE · 6 MODULES

Treasury Technology & Systems

This course provides treasury professionals with an in-depth understanding of modern treasury technology solutions, system architecture, data management principles, and implementation strategies. It combines theoretical knowledge with practical applications to help you evaluate, select, implement, and optimize treasury management systems — to enhance efficiency and drive strategic value.

Format
Self-paced reading, case studies, hands-on exercises
Structure
6 modules + exercises, glossary & samples
Prerequisites
Basic understanding of treasury operations and functions

Learning objectives

By the end of this course, you will be able to:

  • Identify and evaluate key components of treasury technology infrastructure
  • Select appropriate treasury management systems based on organizational needs
  • Understand and address data integration challenges across treasury platforms
  • Apply cybersecurity best practices specific to treasury operations
  • Leverage automation and analytics for improved treasury decision-making
  • Develop a comprehensive roadmap for treasury technology transformation
  • Effectively manage system implementations and optimization projects

Course modules

MODULE 01Treasury Technology Landscape

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1.1Evolution of Treasury Technology
  • Historical development of treasury systems
  • From spreadsheets to integrated platforms
  • Current market trends and future outlook
1.2Core Treasury Technology Components
  • Treasury Management Systems (TMS)
  • Enterprise Resource Planning (ERP) integration
  • Banking platforms and connectivity
  • Trading and investment platforms
  • Risk management systems
  • Payment systems
1.3Deployment Models
  • On-premises solutions
  • Cloud-based systems
  • Software-as-a-Service (SaaS)
  • Hybrid approaches
  • Advantages and limitations of each model

MODULE 02Treasury Management Systems in Depth

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2.1Key Functionalities
  • Cash management and positioning
  • Bank account management
  • Payment processing
  • Forecasting capabilities
  • Risk management tools
  • Investment portfolio management
  • Reporting and analytics
  • Regulatory compliance features
2.2Leading TMS Providers
  • Overview of major vendors (Kyriba, FIS, SAP, etc.)
  • Comparison of features and capabilities
  • Industry specializations
  • Selection considerations
2.3System Evaluation and Selection
  • Needs assessment and requirements gathering
  • RFP development and vendor evaluation
  • Total cost of ownership analysis
  • Implementation timelines and resource requirements
  • Contractual considerations and SLAs

MODULE 03Data Integration and Management

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3.1System Integration Challenges
  • ERP integration strategies
  • Banking system connectivity
  • Trading platform integration
  • Data standardization and normalization
3.2API and Connectivity Solutions
  • API technology overview
  • SWIFT connectivity options
  • Host-to-Host connections
  • Open banking implications
  • Real-time vs. batch processing
3.3Data Architecture and Governance
  • Master data management for treasury
  • Data quality assurance
  • Data governance frameworks
  • Regulatory considerations (GDPR, etc.)
  • Data retention policies

MODULE 04Automation and Emerging Technologies

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4.1Process Automation
  • Robotic Process Automation (RPA) in treasury
  • Automated reconciliation
  • Payment workflow automation
  • Forecasting automation
  • Use cases and implementation approach
4.2Artificial Intelligence and Machine Learning
  • AI applications in treasury
  • Machine learning for cash forecasting
  • Anomaly detection for fraud prevention
  • Predictive analytics for liquidity management
  • Implementation considerations and limitations
4.3Blockchain and Distributed Ledger Technology
  • Fundamentals of blockchain technology
  • Treasury applications: payments, trade finance
  • Smart contracts for treasury
  • Cryptocurrency considerations
  • Current implementations and future potential

MODULE 05Cybersecurity and Controls

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5.1Treasury Cybersecurity Framework
  • Treasury-specific threat landscape
  • Payment fraud prevention
  • Account takeover protection
  • Data protection strategies
  • Incident response planning
5.2Authentication and Authorization
  • Multi-factor authentication
  • Role-based access controls
  • Segregation of duties
  • User provisioning and de-provisioning
  • Privileged access management
5.3System Controls and Audit
  • Audit trails and logging
  • System control testing
  • Regulatory compliance requirements
  • SOX considerations for treasury systems
  • Control documentation and evidence

MODULE 06Implementation and Optimization

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6.1Implementation Methodologies
  • Phased vs. big-bang approaches
  • Resource planning and team composition
  • Testing strategies
  • Change management considerations
  • Training and knowledge transfer
6.2System Optimization
  • Performance tuning
  • User experience enhancement
  • Reporting optimization
  • Workflow refinement
  • Continuous improvement approaches
6.3Treasury Technology Strategy
  • Technology roadmap development
  • Investment prioritization
  • Business case development
  • Measuring ROI on treasury technology
  • Future-proofing your treasury technology stack

Practice & reference

Prefer a shorter overview first?

Alina | TreasuryOS · treasuryease.com