Data Cruncher 24c
Efficient implementation of the requirements according to § 24c KWG
Security through the automated analysis of mass data
The conflicting demands of requests for information from the authorities authorised to make enquiries, internal and external audits, internal bank requirements for customer master data, partly manual data entry and heterogeneous system landscapes result in a high additional effort for operational units, compliance and auditing. Here, the necessity of effort- and cost-efficient control actions to check the data quality is of particular importance.
Benefits
3x
More efficient analysis
The automated analysis of mass data (no random sampling) significantly increases the data quality and reduces the costs and efforts of the audit.
50+
In use at over 50 credit institutions
The Data Cruncher 24c has already been used successfully many times. This gives you a meaningful benchmark comparison from us.
3 in 1
Control, KYC process and audit
Various advantages within the framework of control actions and remediation projects of the compliance function as well as in the digital audit approach of the internal audit. By drawing conclusions from KYC data, you can achieve synergy effects, e.g. on the identification of beneficial owners.
Four steps to increase data quality
The use of Data Cruncher 24c starts with the collection of framework and raw data and enables the analysis of detailed results and the derivation of concrete measures to increase data quality.
01
Collection of framework conditions and raw data
Before using Data Cruncher 24c, we usually conduct a scoping meeting to determine all relevant framework conditions. In this way, the data set to be analysed can be specifically adapted to your needs. Subsequently, we read the data sets into the Data Cruncher 24c.
02
Data analysis
The analysis focuses on the completeness of the reporting-relevant data in the data set and applies various checks to check the plausibility of the existing data for inconsistencies. A full check is carried out on the previously defined data sets.
03
Presentation of results
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The results of the evaluation are visualised graphically in the tool and prepared for you. In addition, they can be traced in detail via an export function. |
04
Root cause analysis and action plans
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Based on our experience with over 100 deployments of the tool, we can provide you with a comprehensive and detailed root cause analysis and benchmark your results. In addition, we support you in designing concrete action plans to increase data quality. |