First-Party Data

A secure, privacy-preserving technology environment that enables multiple parties to combine and analyse their datasets without either party gaining access to the other's raw data. Data clean rooms use cryptographic techniques, aggregation rules, and access controls to enable collaborative analytics while maintaining data privacy compliance.

The documented lifecycle of data as it moves through an organisation's systems, showing its origin, transformations, dependencies, and destinations. Data lineage provides visibility into how data is created, processed, and consumed, enabling organisations to ensure data quality, comply with regulatory requirements (particularly GDPR's right to explanation), debug data pipeline issues, and assess the impact of system changes.

A structured process required under GDPR Article 35 to identify, assess, and mitigate privacy risks arising from data processing activities that are likely to result in high risk to individuals. DPIAs are mandatory before deploying new technologies, large-scale profiling, or processing sensitive personal data, and must document the necessity, proportionality, and safeguards of the proposed processing.

The California Consumer Privacy Act, a US state privacy law granting California residents rights over their personal information, including the right to know what data is collected, the right to delete it, the right to opt out of its sale, and the right to non-discrimination for exercising these rights. As amended by the CPRA (2023), CCPA closely mirrors certain GDPR provisions and has influenced privacy legislation in other US states.

A decentralised data architecture paradigm that treats data as a product owned by domain-specific teams rather than centralising all data management in a single platform team. Data mesh is built on four principles: domain ownership, data as a product, self-serve data infrastructure, and federated computational governance.

The process of generating measurable economic value from data assets, either directly through licensing and sale or indirectly by using data to improve products, optimise operations, and inform strategic decisions. Data monetisation strategies are central to unlocking the full enterprise value of a company's information assets.

A secure online repository used in M&A transactions, capital raises, and other due diligence processes to store and share confidential documents with authorised parties. Virtual data rooms provide granular access controls, activity tracking, watermarking, and Q&A workflows.

A centralised repository of structured, processed data optimised for analytical querying and business intelligence reporting. Data warehouses use a schema-on-write approach, meaning data is cleaned, transformed, and organised into predefined structures before loading.