GoFast.Finance/CMA Part 1F: Technology and Analytics

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CMA Part 1F: Technology and Analytics

  • Course
  • 14 Lessons

Turn CMA technology and analytics topics into practical patterns for planning systems and performance insights.

💻 Systems literacy: Understand how accounting, planning and performance systems fit together and show up in CMA questions.

👥 Better collaboration: Speak confidently with IT, data and operations teams about system changes and analytics projects.

✅ Trusted numbers: Support data governance and analytics practices that improve the reliability and usefulness of planning and performance information.

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Who this is for

FP&A analysts and controllers who rely on ERP, planning and BI systems to run budgeting, forecasting and performance reporting.

Finance managers and CMA candidates sponsoring or contributing to analytics, automation and finance transformation initiatives.

Prerequisites

Knowledge: Familiarity with your organization’s core finance systems and basic data concepts.

Tools: Access to at least one planning or reporting system plus a spreadsheet and visualization tool (for example Excel, Power BI).

Learning Outcomes

  1. Explain the roles of accounting, ERP and performance management systems in planning and controlling work.

  2. Assess data governance policies and controls relevant to finance.

  3. Identify technology enabled finance transformation tools and their implications.

  4. Apply basic data analytics and visualization ideas to performance questions.

CPE Information

  • Eligibility: currently not eligible

  • Watch time: about 2.5 hours

  • Total learning: about 5 hours

  • Estimated credits: 3.0

Contents

Module 1: Core finance and planning systems

Lesson 1: Accounting information systems in daily finance work
Lesson 2: ERP systems: integrating operations and finance
Lesson 3: Enterprise performance management and planning tools

Module 2: Data governance for controllers

Lesson 4: Data policies and procedures that finance cares about
Lesson 5: Following the data life cycle end to end
Lesson 6: Data management, master data and stewardship
Lesson 7: Controls against security breaches and data misuse

Module 3: Technology enabled finance transformation

Lesson 8: System development life cycle from a finance view
Lesson 9: Process automation in planning and reporting
Lesson 10: Innovative applications: AI and advanced tools

Module 4: Data analytics and visuals in performance work

Lesson 11: Business intelligence and performance dashboards
Lesson 12: Data mining basics for finance professionals
Lesson 13: Types of data analytics in controlling
Lesson 14: Data visualization that tells a performance story