Data access policies are rules that determine who can view, use or change information stored in a system. These policies help organisations control data security and privacy by specifying permissions for different users or groups. They are essential for protecting sensitive information and ensuring that only authorised people can access specific data.
Data stewardship roles refer to the responsibilities assigned to individuals or teams to manage, protect, and ensure the quality of data within an organisation. These roles often involve overseeing how data is collected, stored, shared, and used, making sure it is accurate, secure, and complies with relevant laws. Data stewards act as the point of…
Data cataloguing solutions are tools or systems that help organisations organise, manage and find their data assets. They create an inventory of data sources, including databases, files and reports, and describe each item with useful information, such as where it is stored, what it contains and who can access it. These solutions make it easier…
Data lake governance refers to the set of policies, processes, and controls that ensure data stored in a data lake is accurate, secure, and used appropriately. It involves defining who can access different types of data, how data is organised, and how quality is maintained. Good governance helps organisations comply with regulations and make better…
Data consistency verification is the process of checking that data remains accurate, reliable and unchanged across different systems, databases or parts of an application. This ensures that information stored or transferred is the same everywhere it is needed. It is an important step to prevent errors, confusion or data loss caused by mismatched or outdated…
Data retention policies are rules that determine how long an organisation keeps different types of information before deleting or archiving it. These policies help ensure that data is managed responsibly, stays secure, and complies with legal or industry requirements. By setting clear guidelines, organisations can avoid keeping unnecessary data and reduce the risks of data…
Data provenance in analytics refers to the process of tracking the origins, history and movement of data as it is collected, transformed and used in analysis. It helps users understand where data came from, what changes it has undergone and who has handled it. This transparency supports trust in the results and makes it easier…
Data lineage tracking is the process of following the journey of data as it moves through different systems and transformations. It helps organisations understand where their data comes from, how it is changed, and where it goes. This makes it easier to check data quality, comply with regulations, and fix errors quickly.
Compliance tag propagation is a process used in information management systems where labels or tags that indicate compliance requirements are automatically applied to related documents or data. These tags may specify rules for retention, privacy, or security, and help organisations manage regulatory obligations. When content is moved, copied, or inherited, the compliance tags continue to…
Role-Aware Access Controls are security measures that restrict what users can see or do in a system based on their assigned roles. Each role, such as manager, employee, or guest, is given specific permissions that define their access to information and actions. This approach helps organisations ensure that only authorised users can access sensitive data…