Data anonymization with Open Diffix

4-12 people
1 day
Practitioners
Data anonymization training

2.399,00  incl. VAT.

Categories: , ,

Description

In our digital world, enormous amounts of data are generated and processed every day. The protection of user privacy and compliance with data protection laws are of crucial importance. In this workshop, you will learn how to effectively anonymize data while preserving its value for analytics and decision making using the open source software Open Diffix.

Target group

The workshop is aimed at data analysts, developers, data protection officers and anyone interested in data protection and data anonymization.

Learning objectives

Upon completion of this workshop, participants will be able to:

  • Understand the basics of data anonymization and privacy compliant methods.
  • Using Open Diffix as a tool for data anonymization
  • Use anonymized data for analysis and reporting without compromising user privacy
  • Better understand the legal requirements for data protection and data anonymization

Workshop procedure

  1. Introduction to data anonymization and data protection (1 hour)
    • Basics of data anonymization
    • Data protection laws and policies
    • Data protection risks and challenges
  2. Introduction to Open Diffix (1 hour)
    • Overview of Open Diffix
    • Installation and configuration
    • Differences to other anonymization tools
  3. Anonymization of data with Open Diffix (2 hours)
    • Data preparation and data quality
    • Application of anonymization rules and methods
    • Use of Open Diffix to anonymize data
    • Practical exercises and case studies
  4. Analysis and reporting with anonymized data (1 hour)
    • Data visualization and analysis
    • Creation of reports and dashboards
    • Dealing with anonymized data in daily work
  5. Summary and open discussion (1 hour)
    • Key insights and best practices
    • Questions and answers
    • Further resources and learning opportunities

Duration: 6 hours (including breaks)

Requirements:

  • Basic knowledge in data analysis and data processing
  • Laptop with Internet access and authorization to install software

Included:

  • Workshop documents
  • Practical exercises and case studies