2 documents found
Introduction to data anonymisation: Techniques and case studies
Data anonymization defines the methodology and set of best practices and techniques that reduce the risk of identifying individuals, the irreversibility of the anonymization process, and the auditing of the exploitation of anonymized data by monitoring who, when, and for what purpose they are used…
- Guides
Emerging Technologies and Open Data: Predictive Analytics
In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3 categories:
Descriptive analytics, which…
- Reports and studies