Anonymization and pseudonymization of mass data
Anonymizing sensitive data is essential in order to minimize data protection risks and comply with legal requirements. It enables companies to carry out valuable analyses without disclosing personal data. Five key reasons for anonymization:
- Comply with the GDPR: Protection from legal consequences
- Protect customer data: Greater security in the event of data leaks
- Efficient use of data: secure sharing and analysis of data
- Increase data security: No tracing of sensitive information
- Strengthen trust: Promotes credibility and customer loyalty
The challenge: high effort for anonymization
The functions of our Data protection compliant (GDPR, etc.) provision of productive data for Datawarehouse, Big Data (Data Lakes) and test environments generate a relatively high level of effort. This organizational and technical effort, required to repeatedly provide anonymized data, archive it, or continuously update it, This delays the implementation of the projects to be tested. Our open-source Anonymization solution Daqai is the optimal solution for this challenge.
Data protection-compliant analyses for sales: challenges in sales become opportunities. Potential can be exploited in the long term and measures to increase customer satisfaction can be implemented effectively and in compliance with all data protection guidelines.
Your benefits from a company-wide anonymization solution
With OpenLS’s open-source anonymization solution, you can make your production data and information available for test environments in a privacy-compliant manner. With just one solution, a wide variety of possible scenarios can be flexibly mapped – and data can be reliably anonymized within a very short time.
Many organizations use so-called ETL tools (Extract, Transform, Load) are used to populate test systems or to perform anonymization tasks. This often requires specialists who develop and maintain the corresponding ETL jobs. The anonymization solution Daqai also allows this. Daquai enables users without technical expertise to quickly and easily create test scenarios and anonymize data. In most cases, anonymized data and test scenarios can be provided within minutes. Daquai minimizes the complexity of data acquisition and anonymization processes:
- Multiple algorithms and plug-ins for data anonymization – the right algorithm for every application
- Use real data from productive systems in test environments in a permanently legally compliant manner
- High-performance anonymization of structured and polystructured mass or individual data
- Support for technical definition/selection through artificial intelligence
- Automated creation of a data protection catalog at field and table level
Anonymize data securely and easily in minutes
The implementation effort is minimal – the system can usually be used after a short time (less than an hour). The solution is characterized by its ease of use without compromising on performance. Users can usually operate the solution after just a few minutes.
- GDPR-compliant data with little effort
- Fast and reliable results
- The effort required for commissioning is minimal (approx. 1 hour)
- Company-wide anonymization solution for a large number of IT systems
- High speed
Discover your potential!
We support you in finding the right anonymization solution for your company. With an individual potential analysis, we determine your requirements and show you how you can use data securely and efficiently – legally compliant, GDPR-compliant and optimally tailored to your processes.
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