Summary  
This chapter introduces the data lifecycle concept, showing code patterns to enforce minimal data collection, secure storage (encryption and backups), purpose-driven processing, controlled sharing, and automated deletion.  

General domain of usage  
Data privacy and security

- **Collection**: collect the minimum amount necessary. Asking for too much feels suspicious and increases risk;
- **Storage**: good storage includes encryption, password-protected access, and secure servers, regular backups;
- **Processing**: use data the way you promised;
- **Sharing**: companies often share data with vendors, marketing platforms, and software partners. Once data is shared, some control is lost, so contracts and privacy agreements are critical. If a partner mishandles data, your brand suffers too;
- **Deletion**: it matters because deletion reduces breach risk, keeps storage clean, and respects user privacy.

A practical guide to operating responsibly in digital advertising and marketing — covering the regulations that govern data collection, the systems that protect consumer privacy, the risks that come with programmatic media, and the organisational structures that keep brands compliant and credible. Built for professionals who need more than theory: every section moves from concept to application, ending with the tools, frameworks, and decision-making skills to handle real compliance challenges in the field.

The rules, frameworks, and core concepts that define how organisations handle personal data — from global regulations to the practical policies governing digital advertising.

How data moves through an organisation, how it must be protected, and what individuals are entitled to expect from the businesses that hold their information.

The risks that come with operating in digital media, how to control where a brand appears, and how to respond when something goes wrong.

Putting it all together — auditing what exists, building the culture and systems to sustain it, and staying ahead of what comes next.

The Data Lifecycle