Fraud Analytics: Ensuring Data Quality
Before performing any type of fraud analysis, it’s critical to ensure the quality of your data is optimal for the analysis. Skipping this crucial step can render your results useless.
Ensuring data quality mitigates the risk that false anomalies will taint your results. This is especially important when searching for indicators of fraud. And it’s not that difficult or expensive to take this step. In fact, this can be achieved by simply using basic spreadsheets and the proper methodology.
Join Alexis C. Bell, International Antifraud Consultant, Author and Keynote Speaker, as she walks participants through the steps to ensure data quality.
The webinar will cover:
- Importance of data quality
- Key definitions
- Documenting your work
- Getting access to the required data set
- How to assess data sets for:
- completeness
- uniqueness
- timeliness
- validity
- accuracy
- consistency
Webinar Presenter
