Learn to identify time-sheets for which the input date is more than 30 days after the worked day. Fraud or error concerning the number of actual working hours compared to time-sheet input. This course gives you the fraud scenario, the SAP data you need from ECC or S/4HANA, the Python code and logic, and a hands-on dashboard with an AI chatbot to test your data literacy.
Video lessons · Quiz included · Certificate of completion
€99,00
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Understand the real fraud scenario behind the analysis.
Get the exact SAP data and Python logic to run it.
Practise on a live dashboard with an AI chatbot.
Timesheet late input Timesheets can sometimes be entered late in order to avoid detection of unusually high numbers of hours.…
Cross Application Timesheets (CATS) If your organization uses SAP for timesheets then you may have a workflow similar to the…
Time sheet The main table for CATS is CATSDB: Cross Application Time Sheet Database. This table contains the time posted…
Late time sheets Assuming that we have formated our timesheet data, as mentioned below, we can then filter on time…
Use the dashboard below to see if there are any employees with late time-sheet input.
Founder, 300Framework · Former Big 4 SAP audit lead
For 25 years I sat on the audit side of SAP — chasing exceptions, untangling P2P breakdowns, explaining to finance teams why their controls weren't catching what they thought.
The 300Framework distills what actually works: the questions that surface real risk, the SAP queries that pull the right data, the workflows that turn findings into fixes. It's the playbook I wish I'd had on day one.
SAP Certified · Big 4 alumna · 189 courses authored · Based in Lisbon
The risk
Fraud or error concerning the number of actual working hours compared to time-sheet input.
What you’ll learn
This course teaches the Time-sheets input more than 30 days late analysis from the Human resources area of the 300 Framework (Time-sheets): how to identify time-sheets for which the input date is more than 30 days after the worked day. We start with the real-life fraud scenarios behind it, then give you the accounting and SAP background you need to judge whether the data is genuinely pointing to a problem in the specific context of your organisation.
The data and the code
You’ll get the exact SAP data required to run this analysis from either ECC or S/4HANA — the relevant tables, fields and how to join them — followed by a walk-through of the Python code and its logic: the filters, the joins, the algorithms, and the Artificial Intelligence tools you can layer on to enhance your result set.
Test your skills
Finally, you’ll put it into practice on a real dashboard, answering questions from our chatbot to find the exceptions in the data and choose the most interesting samples to investigate.
Taught by our experts in fraud detection, internal audit, internal control and SAP.
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€99,00
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The methodology behind 25 years of SAP audit excellence.
by Aufinia