Accounting Analytics is a comprehensive course offered by the University of Pennsylvania, focusing on the correlation between financial statement data and non-financial metrics with financial performance. This course, taught by Wharton’s renowned accounting professors, delves into the utilization of data to gain insights and forecast future financial scenarios.
The course covers various areas where accounting data provides valuable insight into consumer behavior predictions, corporate strategy, risk management, and optimization. Through this course, participants will gain an understanding of how financial and non-financial data interact to forecast events, optimize operations, and determine strategy, enabling them to make better business decisions. The course is designed to equip learners with the skills to apply accounting analytics in their own business decision-making processes and strategy formation.
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The course modules cover a wide range of topics, including ratio analysis and forecasting, earnings management, big data and prediction models, and linking non-financial metrics to financial performance.
The Ratios and Forecasting module provides an overview of financial statements, sources for financial statement information, and ratio analysis. Participants will delve into profitability, turnover, liquidity ratios, and forecasting. The module also includes a quiz to test understanding.
The Earnings Management module explores various aspects of managing earnings, including revenue recognition red flags and expense recognition red flags. Participants will gain insights into identifying potential issues and managing earnings effectively.
The Big Data and Prediction Models module delves into discretionary accruals, discretionary expenditures, and fraud prediction models. Participants will also explore Benford's Law and its application in prediction models, gaining valuable insights into leveraging big data for predictive analysis.
The Linking Non-financial Metrics to Financial Performance module focuses on connecting non-financial performance measures with financial metrics. Participants will learn about setting targets, incorporating analysis results in financial models, and using analytics to choose action plans, addressing organizational issues along the way.
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