Predictive Accounting
This course explores how accountants can use financial data, statistical modeling, and artificial intelligence to forecast future outcomes and guide strategic decision-making. It contrasts historical accounting with predictive methods, emphasizing tools like time series forecasting, machine learning, and scenario analysis. Predictive Accounting also covers practical applications such as predicting bad debts, detecting fraud, and improving budgeting through rolling forecasts and ERP integration. Additionally, it addresses the importance of data quality, ethical considerations, and effective communication of predictive insights to stakeholders.
Format
PDF Course
Level
Overview
Duration
3 Hours
Course Information
Author: Steven Bragg
Course Number: AC1179
Learning Objectives
- Recognize the trends causing the shift to predictive accounting.
- Recall the components needed for training a prediction model.
- Recognize which metrics are forecasted using predictive accounting.
- Specify the accuracy assessment methods used by predictive models.
- Recall the features of predictive accounting systems.
- Recognize how a time-series forecasting model is used.
- Recall the risks associated with using predictive models.
- Recognize the software functionality that supports predictive accounting.
- Specify the role of data normalization in predictive accounting.
- Recall how forecasted sales accuracy can be improved.
- Recognize how supervised learning can support predictive accounting.
- Recall the ethical considerations related to the use of predictive accounting.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Accounting
Prerequisites: None
Advance Preparation: None
Latest Review Date: August 2025
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
