Making SAP systems ready for Europe

The EU General Data Protection Regulation on the protection of individuals with regard to processing of personal data and on the free movement of such data went into effect last year. It will start being enforced on May 25, 2018. That leaves companies less than a year to prepare for and comply with the regulation.

Where is relevant personal data used in the system?

What data is exchanged between different systems?

How can personal data be consistently masked

Key factors for success

For companies, the big challenge is to ensure compliance with the GDPR’s various requirements. They will have to start early if they want to follow all the new rules by the stated deadline. First, they need to identify all internal processes that involve personal data. They are the starting points for developing GDPR compliance programs and the key success factors for compliance with the new provisions. Processes use a wide variety of data that is collected for, or generated during, data processing. This data should be reviewed carefully and assessed for opportunities to minimize or even eliminate it altogether. Another extremely important factor is data quality. The better the data quality and the more closely the data matches defined data profiles, the easier it will be to define reasonable ways to comply with the GDPR.

Analysis and visualization of business processes and workflows

An essential prerequisite for the anonymization of data is to identify those processes that use personal data. There is one tool, SNP Business Process Analysis (BPA), which supports analysis and visualization of business processes and workflows. SNP BPA contains an extractor that automatically collects the necessary data from the SAP system and provides the information obtained for further analysis or data creation.

Communication of the systems and exchange of data

Just as important as the development of business processes is the communication between systems. Interfaces ensure the exchange of information within your own system landscape as well as to external communication partners. The SNP Interface Scanner (IFS) provides extensive analysis support by checking and documenting interfaces with little effort. The results show which interface types are used between which systems and how often they are in use.

Anonymize mass data with low processing time

In the concept phase it is determined which data will be anonymised in what way. This requires a tool that configures such settings easily and reusably and that is able to anonymize bulk data in a consistent manner with low processing time: SNP Data Provisioning & Masking (SNP DPM). This standard software for providing realistic and secure test data can significantly shorten development and change processes, enable more cost-effective test and training scenarios, and protect sensitive customer and product data from misuse.

Time is running out

Start now with the preparatory activities needed to implement the EU General Data Protection Regulation. The more detailed the implementation of the core elements of the Regulation is, the fewer problems that will arise when it comes to actual implementation - and the lower the risk of high penalties for non-compliance.

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