Information governance is the way organisations manage and control their information to ensure it is accurate, secure and used properly. It involves setting policies and procedures for collecting, storing, sharing and deleting information. Good information governance helps organisations meet legal requirements and protect sensitive data.
Data Lifecycle Management (DLM) is the process of overseeing data from its creation and storage through to its use, archiving, and eventual deletion. DLM helps organisations make sure data is handled properly at every stage, keeping it organised, secure, and compliant with regulations. By managing data throughout its lifecycle, companies can reduce storage costs, improve…
A data archival strategy is a planned approach for storing data that is no longer actively used but may need to be accessed in the future. This strategy involves deciding what data to keep, where to store it, and how to ensure it stays safe and accessible for as long as needed. Good archival strategies…
Data retention policies are official rules that determine how long an organisation keeps different types of data and what happens to that data when it is no longer needed. These policies help manage data storage, protect privacy, and ensure legal or regulatory compliance. By setting clear guidelines, organisations can avoid keeping unnecessary information and reduce…
CCPA compliance means following the rules set by the California Consumer Privacy Act. This law gives people in California more control over how companies collect, use and share their personal information. Businesses must tell customers what data they collect, allow them to see or delete that data, and honour requests not to sell personal information….
Metadata governance is the set of rules, processes, and responsibilities used to manage and control metadata within an organisation. It ensures that information about data, such as its source, meaning, and usage, is accurate, consistent, and accessible. By having clear guidelines for handling metadata, organisations can improve data quality, compliance, and communication across teams.
Data lineage tracking is the process of following the journey of data as it moves through different systems and transformations. It records where data originates, how it changes, and where it is stored or used. This helps organisations understand, verify, and trust the data they work with.
A Data Stewardship Program is a formal approach within an organisation to manage, oversee and maintain data assets. It involves assigning specific roles and responsibilities to individuals or teams to ensure data is accurate, secure and used appropriately. The program sets clear guidelines for how data should be collected, stored, shared and protected, helping organisations…
A data governance model is a set of rules, processes, and responsibilities that organisations use to manage their data. It helps ensure that data is accurate, secure, and used appropriately. The model outlines who can access data, how data is handled, and how it is kept up to date. By using a data governance model,…
A Requirements Traceability Matrix is a document that helps track the relationship between requirements and their implementation throughout a project. It ensures that each requirement is addressed during development and testing, making it easier to spot missing or incomplete features. This matrix is often used in software and systems projects to maintain control and accountability…