The 2022 report is the result of a biennial, global research initiative launched by the ACFE and SAS in 2019. This report serves as a valuable resource for anti-fraud professionals to learn what types of technology their peers are using, or plan to use, and how these technologies have impacted the success of their fraud prevention and detection initiatives.'Įxploring the data by industry, region and more 'To stay ahead of not only the increased volume of fraud instances, but also emerging trends, it's critical for organizations to be flexible and proactive in adopting new anti-fraud tools and processes.

'Navigating the pandemic-forged business landscape, we've seen increased reports of fraud – a trend we don't expect to slow any time soon,' said Bruce Dorris, J.D., CFE, CPA, President and CEO of the ACFE. Advanced analytics topped the investment list, particularly artificial intelligence (AI) and machine learning (cited by 26% of respondents) followed by predictive analytics/modeling (22%).The majority (60%) expect their anti-fraud tech budgets to grow over the next two years.More than 40% of respondents reported accelerating their use of data analytics significantly (14%) or slightly (29%) amid the pandemic.New research by the ACFE and SAS reveals how fraud fighters worldwide are using technology to fight fraud. SAS University Edition, which is available at no charge to educators and learners for academic, noncommercial use, includes SAS® Studio, Base SAS®, SAS/STAT®, and SAS/IML® software and some other analytical capabilities.Through the pandemic, analytics has emerged an indispensable anti-fraud tool. After a brief overview of SAS University Edition, this paper describes JupyterLab, discusses examples of using it to learn data science with SAS, and provides tips. In addition, the use of an executable document facilitates collaboration and promotes reproducible research and analyses. The ability to seamlessly interweave code, results, narrative text, and mathematical formulas all into one document provides students with practical experience in creating reports and effectively communicating results. You can use this open-source interface to generate dynamic notebooks that easily incorporate SAS® code and results into documents such as course materials and analytical reports.

One of the interfaces that SAS® University Edition includes is the popular JupyterLab interface.

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