Anonymization plays a crucial role in protecting personal data and ensuring information security. However, selecting the appropriate anonymization technique is a challenging task for developers, data scientists, and security practitioners due to the vast array of techniques available in both research and practice. This paper aims to assist users by offering a method for structuring a framework that helps them make informed decisions about the most appropriate anonymization techniques for their specific use cases. To achieve this, we first conduct a systematic literature review following the PRISMA guidelines to capture the current state of the art in anonymization techniques. Based on the findings from this review, we propose a conceptual organisation of anonymization techniques, designed to help users navigate the complex landscape of anonymization and choose techniques that align with their security requirements.