Challenges
Static Rules miss unknown Patterns
Many companies rely on static rules – but if you only check known rules, you will miss unknown rule breakers.
Rules must be known in advance
Only what has been defined can be found – the unknown remains hidden.
01
Rule systems quickly become complex
The more rules you have, the harder they are to maintain.
02
False sense of security
A rule-heavy system may feel safe, but complex anomalies still go unnoticed.
03
New Data = New Patterns
Changing data structures require constant updates – making rule maintenance error-prone.
04
Combinatorial complexity
Even experts can’t define all possible rule combinations.
05
Workarounds bypass the rules
Fraudulent behavior can exploit blind spots in your existing rule set.
06
Solution
AI-based Anomaly Detection – Data-Driven instad of Rule-Based
dab DEAN detects anomalies in your data without predefined rules – using AI.
Automatic Outlier Detection
All you have to do is provide a table – the AI identifies deviations automatically.
No Black Box
dab DEAN reveals the key columns and values behind every result – explainable AI.
SAP or System-Independent
Works with SAP tables, dab Data Products, or any structured external data.
Plug-and-Play Deployment
Fully integrated in dab Nexus, embedded in the Diligent One Platform, or as a standalone service via Support+ AI.
Compatible with nearly all Structured Datasets
From any use case or industry – dab DEAN adapts to your data flexibly.
Ready to Use
No training phase, no parameter tuning – anomaly detection at the push of a button.
How it works
Anomaly Detection in 3 Steps – Fast, Flexible, Explainable
Process
01
Provide your Data
Whether SAP, Excel, or Oracle – nearly any table can be used.
02
dab DEAN detects Anomalies
The AI finds patterns and flags anomalies automatically.
03
Understand the Cause
dab DEAN pinpoints the features that caused each outlier.
04
Share Results
Visualize the findings, e. g. in Power BI, to facilitate the follow-up.
Your Benefits
Benefits for Your Business
No Rule Definition needed
The AI identifies statistical anomalies without any manual setup.
01
Explainable Results
dab DEAN highlights the data characteristics behind each finding.
02
Full Flexibility
Works with data from SAP, Oracle, Excel, and other common sources.
03
Leverages existing Data Products
Use dab DEAN on top of our predefined dab Data Products for maximum efficiency.
04
Built for Business Users
No data science knowledge required.
05
Flexible Deployment Options
Available via dab Nexus, the Diligent One Platform, or as a standalone service with our Support+ AI.
06
References
Our References Speak of Success
Martin Riedl | Stefan Wenig
CEOs
Process Mining with Power Automate is a transformative breakthrough by seamlessly integrating it into the Microsoft Power Platform. Through our innovative solution, dab Nexus, we are thrilled to establish this as the new industry standard. Not only does it empower all our esteemed customers to effortlessly connect to their SAP environment, but it also provides best-in-class process mining data models and pre-built analytic content. This unique combination ensures that the time required to achieve SAP-focused process mining value is reduced to a matter of days, rather than months.
Edith Wittmann
General Manager Global Partner Solutions Germany
The partnership with dab: Daten – Analysen & Beratung GmbH enables our customers to seamlessly integrate SAP data access and analysis into their Microsoft environment. Use cases range from pure data extraction to process mining, AI-supported business analytics, and special topics such as Audit, SOX & Internal Controls, Cash Recovery, or Fraud Detection.
Andreas Noserke
We always had the feeling that duplicate payments were slipping through – despite the dual control principle and SAP controls. The analysis not only showed us true duplicate payments, but false positives are also recognised by the AI and no longer need to be checked as much. This saves us an enormous amount of time in follow-up processing. The combination of rule-based analysis and learning AI is a real added value for us.
Pierre Poukens
CAE of Huntsman
We got to know dab as a reliable and committed partner. That is why we opted for their “Support Gold” and technical assistance for our Analytic Projects and Automation initiatives.
We got to know dab as a reliable and committed partner. That is why we opted for their “Support Gold” and technical assistance for our Analytic Projects and Automation initiatives.
Marcel Schäfer
Head of Audit for Corporate and Service Functions & Compliance at Covestro AG
For over 15 years now, we know dab as an innovative and reliable partner in the field of digital data analytics and related training. The seamless extraction of large amounts of data from SAP and the results of various analytics assist us in performing our audits more efficiently.
Lothar Klein-Schopper
Head of Group Internal Audit at Leoni AG
The standardized analytics from the dab AnalyticSuite have significantly increased the efficiency of our auditing activities and ensured sustainable knowledge management. Even with a change of employees, the new auditor can quickly familiarize themselves with the data analysis environment and evaluate SAP data without needing specific IT and SAP expertise.
Features
Features of dab DEAN
FAQ
Frequently asked Questions
No. dab DEAN learns from your data and operates completely rule-free.
dab DEAN automatically detects anomalies – no filtering or scripting needed.
Yes. dab DEAN shows the decisive columns and values that triggered each detection.
No. dab DEAN works with any structured table – including Excel, SQL, or Oracle.
No. dab DEAN is designed for business users and ready to use out of the box.
Yes. It’s built for high-volume, complex data environments.
Yes. The results from dab DEAN can be displayed in Power BI as you have full access to them.
dab DEAN is seamlessly integrated into our existing analytics portfolio – as with all other use cases, execution is simple and efficient as usual. The key difference: a powerful AI works in the background without changing the analysis process for users.