On Wednesday, October 11 dab: Daten - Analysen & Beratung GmbH was awarded the 1st prize of the Best Business Award for sustainable corporate management (category: businesses up to 30 personnel). We appreciate this very much, and thank the jury and organizers for the award, as well as the successful event staged in a special location.
Cologne, 13 September 2017: Integrated consultancy and auditing firm Rödl & Partner and dab: Daten – Analysen & Beratung GmbH have agreed exclusive cooperation in the field of auditing. The cooperation aims to further drive the digitalisation of auditing processes. Rödl & Partner and also dab: Daten – Analysen & Beratung will contribute their respective know-how in the fields of data analytics, annual audits and SAP in order to develop the Analytics4Audit application platform.
Aside the solution per se, customers deciding on data analytics or audit management software are also interested in its future viability and the manufacturer’s integrity and product strategy. Generally, acquisition and implementation costs are only acceptable if the solution will be viable over the medium and long term and if there is no risk of either the software or the company doing a sudden vanishing act.
As you have probably gleaned from our website, in addition to its data analytics products, ACL™ also offers ACL™ GRC, an independent, cutting-edge audit management solution. As well as using a web browser, the solution can also be accessed via a mobile app. Android and iOS devices (e.g. iPad or iPhone) are currently supported. This blog post explains the app’s capabilities and our opinion on it.
When analyzing data in checks or audits, you often find that not everything which looks like a problem really is one. You may frequently check whether compulsory entries in the data are missing, and then possibly deduce problems in data consistency – sometimes your conclusions prove to be false.
In this blog post we want to look at the question of why open items in accounts payable can be well worth a closer look. We will illustrate this taking data from an SAP® IDES system; we will look at the data with ACL™ analytics software.
In addition to the proven desktop version of its analytics software, ACL™ also offers a powerful server solution, ACL™ AX. Experienced users and long-time customers of ACL™ who successfully perform desktop-based data analytics may in particular be considering whether to switch. This blog post outlines the key differences – both technical and otherwise. For readers in a hurry, an abstract of the full article is given below.
Bitcoin as Reporting Currency Users of our dab:AnalyticSuite (formerly known as dab:FastForwards) know and appreciate the functionality of the "ReportingCurrency" or the conversion of all relevant currency amounts into a group currency. We use SAP® internal exchange rates and we even allow you to choose between the exchange rate on a specific key date and the exchange rate that was recorded at the time of the document. This results in much greater flexibility when working with the analysis results, especially if you often work with e.g. cross-company-code comparisons with foreign currency transactions.
This article will demonstrate the difference between Purchasing Document Category (EKKO_BSTYP) and Purchasing Document Type (EKKO_BSART) which can be found in table EKKO. The table EKKO includes the header data of all purchasing documents. Which documents are concretely concerned, will be described in the following chapters.
This article discusses the account balance display. There are several postings per vendor respectively customer in one year. The tables LFC1 and KNC1 offer a consolidated view to vendor postings or customer postings within a period. This article describes the mentioned tables. Furthermore, the corresponding transactions in SAP® are described.
This blog post discusses the benefits of visualisation options in data analysis tools. We will use the web client of ACL™ Analytics Exchange as an example. However, the possible architecture of a corresponding data analysis solution presented here has been kept relatively general, ensuring it is also of interest to readers who don't yet use a client/server data analysis solution.