How do you keep track of the company's goods traffic, customers and suppliers and ensure that all compliance requirements in foreign trade are met? One component of these controls can be our ready-made trade compliance analytics for SAP systems, which I would like to explain to you below with a few examples

Would you like to identify Outliers in your data with AI using no rules? The AI-Assistant DEANO only requires a table as input and then delivers the identified Outliers as output.

Visualization is a pragmatic approach to making the 'messages' contained in data immediately understandable to outsiders. 

Static export packages for SAP data are just a thing of the past. Today, the extraction is generated precisely at the push of a button.

This article aims to highlight ways of gaining new global views of companies. We focus primarily on two points: the visual representation of results and the use of maximally detailed and not just aggregated data in data analysis.

We are looking forward to speaking personally to DataConsulting's customers in the course of their virtual Customers Day on 21 January, presenting our solutions and providing an insight into product innovations. 

Essential components of the HUGO BOSS strategy are, on the one hand, customer centricity and, on the other, that decisions are made quickly and based on data. What comes out of applying this approach to the work of internal auditing? 

Today's blog post is a guest contribution by our long-time companion in data analysis, Mr. Ernst-Rudolf Töller. 
Mr. Töller worked as an IT auditor for auditing companies for more than 25 years, during which time he was deeply involved in data analytics issues. He worked for BDO AG, Hamburg until his retirement at the end of February 2016 and has since been in active retirement. During his work as a "data scientist", he was involved in audits of annual financial statements as well as in investigations of fraudulent acts or projects to support internal auditing. His focus was and still is on mathematical-statistical models for data analysis as well as their implementation with programs such as ACL and WINIdea.

Everyone who works with SAP is aware of the need for the different authorizations and may also know about its complexity. Occasionally, there were even times when you tried to perform a certain transaction in SAP and you were not allowed or received a message that you do not have the permission to perform a certain action.
The SAP system allows different users to perform

Now to specific examples of use. I will show you three examples from our portfolio to give you some ideas and have divided them into three different categories. Firstly, I will use the example of a traditional duplicate payments analysis to explain how known, transaction-based analyses can be improved. I will then describe new analytical approaches, based on the specific example of a comparison of master data quality expressed as an objectively determined indicator. The third example shows the segmenting of business partners in financial accounting – not in the traditional way but based on the posting structure exhibited by these partners.

Artificial intelligence and machine learning – no matter the medium you use (print media, online portals, radio or TV), you will generally come across one of these terms sooner or later. But as the saying goes – everything has already been said, but not yet by everybody.

In this blog post I outline some important issues when analysing SAP® accounts payable postings. Specifically, I discuss which documents should be considered and which can be ignored – or the attributes according to which a compression may, where applicable, also make sense. As this depends on the individual (or on the analysis objective), this should be seen as a suggestion.