Zusammenfassung
We are currently living in the age of big data with ever growing volumes of heterogeneous and fast moving data. Whether they are mobile devices, internal or external systems or cloud-based systems data is generated, stored, processed and distributed in many different systems. This leads to various information security and privacy risks. To address these issues, especially from the viewpoint of ...
Zusammenfassung
We are currently living in the age of big data with ever growing volumes of heterogeneous and fast moving data. Whether they are mobile devices, internal or external systems or cloud-based systems data is generated, stored, processed and distributed in many different systems. This leads to various information security and privacy risks. To address these issues, especially from the viewpoint of data management and data governance we propose a conceptual analysis model. Thereby, our model takes into account the dimension of data storage location together with their respective risks and costs while considering the strategic value and sensitivity of data assets. For demonstrating our approach we developed a visual analytics web application which is based on parallel sets visualizations. By being able to interactively explore the analysis dimensions users are supported in developing enhanced situational awareness for making decisions in the context of secure and economical data storage.
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