Discover how to detect fraud, biases, or errors in your data
using Access or Excel
With over 300 images, Forensic Analytics reviews and
shows how twenty substantive and rigorous tests can be used to
detect fraud, errors, estimates, or biases in your data. For each
test, the original data is shown with the steps needed to get to
the final result. The tests range from high-level data overviews to
assess the reasonableness of data, to highly focused tests that
give small samples of highly suspicious transactions. These tests
are relevant to your organization, whether small or large, for
profit, nonprofit, or government-related.





Demonstrates how to use Access, Excel, and PowerPoint in a
forensic setting

Explores use of statistical techniques such as Benford's Law,
descriptive statistics, correlation, and time-series analysis to
detect fraud and errors

Discusses the detection of financial statement fraud using
various statistical approaches

Explains how to score locations, agents, customers, or
employees for fraud risk

Shows you how to become the data analytics expert in your
organization



Forensic Analytics shows how you can use Microsoft Access
and Excel as your primary data interrogation tools to find
exceptional, irregular, and anomalous records.