ACL to python - python ABC for auditors

(May 7th, 2024 9AM NY time)

FREE TUESDAY WEBCLASS 9AM EST

If you use ACL (the standard data analytics tool for auditors), you might be wondering if what you do in ACL can be done in python. ACL helps auditors to do typical auditor tasks easily. 

For example, (i) Testing for duplicates; (ii) Ageing analysis to see overdue payments or open purchase orders; (iii) Showing the total value per user/ vendor/ customer to know the most important 3rd parties; (iv) Filtering journal entries on those that are manual and that have accounts that are rarely used or users that rarely post; (v) Sorting the list of sales order prices in increasing order to see unusually low prices; (vi) Using statistics and stratification to find outliers in a large data set. In this webclass we will take those commands and see how we can create our own repository of Python equivalents. We will share the repository and some dummy data with the group and see if anyone wants to contribute to that repository following the class.

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Meet Your Host

Claire Worledge will be your host for this webclass. She will share with you her 23 years experience in data analytics for internal auditors

Ex-big 4 data analytics manager, Certified Fraud Examiner and IT auditor

.. also loves running and bio-hacking!
… author of Data Analytics Secrets

Thanks For All The Amazing Content!

“Thanks for all the amazing content in the webclasses. We have learned quite a lot and this is helping the team to get going with SAP data analytics, as well as challenging our consulting vendors!”

Celia, Head of Internal Audit

What We Cover in Our Webclasses

During our Data Leaders In Internal Audit Tuesday Webclasses we are gaining insights on the following:

How do the Big 4 firms do data analytics?

What does the IIA, ISA, ACFE and ISACA say about data analytics?

What risks should be avoided when using data analytics in internal audit?

How can we train our auditors so that they can successfully use data analytics in their work?

What are the most obvious fraud schemes that data analysts need to be aware of?

What do “normal auditors and data analysts need to understand to make an efficient team?

Which data do you need to extract from SAP and how should it be interpreted?

How can we leverage data to see risks in the entity and better prepare the audit?

Only 100 slots available - reserve yours today