Free Download CMA 2026 In-depth Part 1 Sec F - Technology and AnalyticsPublished 1/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 1h 51m |
Size: 3.41 GB
Mastering Technology, Data Governance, and Analytics for Strategic Management Accounting
Understand the role of information systems in business operations and value creation.
Explore data governance principles and practices.
Examine technologies that enable finance transformation and efficiency.
Apply data analytics techniques to derive insights and support decision-making.
RequirementsAspiring CMAs, accounting professionals, and business analysts interested in technology's role in finance.
DescriptionThis comprehensive course aligns with Section F (Technology and Analytics, 15%) of the CMA Part 1 exam and equips aspiring Certified Management Accountants with essential knowledge of how technology transforms accounting, finance, and decision-making in modern organizations. Participants explore the integration of accounting information systems (AIS) within the value chain and gain a deep understanding of core transaction cycles-including revenue-to-cash, expenditures, production, payroll, financing, and fixed assets-along with their connection to the general ledger and reporting processes. The course examines the evolution from fragmented financial and nonfinancial systems to integrated solutions such as Enterprise Resource Planning (ERP), relational databases, data warehouses, and enterprise performance management (EPM) tools. Learners discover how these technologies overcome data silos, enhance organizational efficiency, and support strategic performance management. Key topics include data governance frameworks (including COSO principles), the complete data life cycle, preprocessing techniques, record retention policies, and cybersecurity controls. Participants also investigate technology-enabled finance transformation through the system development life cycle, robotic process automation (RPA), artificial intelligence, cloud computing, SaaS, and emerging applications of blockchain and smart contracts. The largest portion of the course focuses on data analytics: defining Big Data (the four Vs), business intelligence, data mining, SQL fundamentals, and the four types of analytics (descriptive, diagnostic, predictive, prescriptive). Advanced techniques such as regression, time series analysis, clustering, classification, Monte Carlo simulation, sensitivity analysis, and what-if modeling are covered, alongside best practices in data visualization and effective communication of insights. Designed for CMA candidates and finance professionals, this course bridges technical concepts with practical business applications to prepare learners for technology-driven roles in management accounting.
Who this course is forAspiring CMAs, accounting professionals, and business analysts interested in technology's role in finance.
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