DATA ANALYTICS IN ACCOUNTING

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COURSE OVERVIEW

This course is designed to empower accounting professionals with essential data analytics skills, enabling them to effectively analyze accounting data, enhance decision-making capabilities, and generate actionable business insights. Participants will gain hands-on experience with practical applications of data analytics, focusing on key accounting processes such as accounts receivable, accounts payable, inventory, fixed assets, reconciliations, loans, and financial reporting. By integrating MS-Excel analytics into these areas, the course equips attendees with tools to identify trends, uncover opportunities, and improve operational efficiency. If you are streamlining workflows, this course ensures a solid foundation in leveraging data to transform accounting practices and contribute to organizational success.

COURSE OBJECTIVES

By completely attending this course, participants will be able to:

  • Understand the role of data analytics in accounting decision-making.
  • Ensure data accuracy through effective preparation and validation.
  • Use Excel, Power Query, and Power Pivot for financial data analysis.
  • Optimize processes like AR, AP, reconciliations, and fixed assets.
  • Detect trends, anomalies, and insights for improved efficiency.
  • Streamline workflows using practical analytics techniques.
  • Design visualizations and reports to communicate findings.

 

NOTE

This course requires participants to bring their own laptops with a Windows operating system and Excel 2019/365 fully installed.

accounting for non accountants

TARGET COMPETENCIES

  • Data-Driven Accounting
  • Data Integrity
  • Analytical Tools
  • Accounting Workflow
  • Visualization and Reporting

This course is designed for corporate accountants and finance professionals responsible for accounts receivable, accounts payable, reconciliations, fixed asset management, and financial reporting, seeking to enhance their data analytics capabilities.

The course includes instructor-led training, hands-on workshops, and practical exercises, providing participants with interactive learning experience to develop essential skills and apply knowledge effectively in real-world accounting and data analytics scenarios.

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