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Data Masking solution for the GDPR
…of Data Masking Data Masking is a technique that hides original sensitive data with dummy data. Not only is data blurred and anonymised but also pseudonymised rendering it unrelated to…
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…of Data Masking Data Masking is a technique that hides original sensitive data with dummy data. Not only is data blurred and anonymised but also pseudonymised rendering it unrelated to…
Consists of a sophisticated master data masking tool for use in non-production environments, ensuring consistency and reversibility. Supports compliance with regulations pertaining to the protection of personal data….
…process to explore, combine, clean, and transform raw data into curated datasets for data integration, data science, data discovery, and Business Intelligence/Reporting. (Source: Gartner) With more than 20 years in…
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…data it deals with: it must be complete, accurate and timely. In other words, we are talking about satisfying data quality criteria that must be guaranteed beforehand, proactively. Design Data…
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…they deal with Data Management tools: Data Integration, Data Quality, Data Profiling, Data Discovery, Data Masking. In both cases, a Metadata Management system should allow communication to work both ways….
…requirements and manage the data lifecycle with assurance of quality preservation and usability of data assets over time. Engineer your your data assets Calibrate data control facilities, manage data modeling,…
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…metadata thus comes into practice on the basis of a metadata-driven operational model. Applied to Data Management disciplines, a metadata-driven approach means driving a Data Management system through a governance…
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…Data Governance, Data Masking, Data Reconciliation, Analytics, Performance Management, Compliance & Regulatory Reporting, Loans Management, Risk Management, etc. Update 8 confirms our commitment to expanding our activities to not yet…
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…Why is it convenient to use it? Metadata contributes to the processes of data storage, data protection and control, data processing, data integration, data governance. In short, it helps a…
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…nicer editor and ‘magic’ engines for fast execution. ETL processes are a variation of Data Management, which also covers many other areas (Rule-Based Systems, Data Quality, Data Integration and Reporting,…