A usage audit is a review process that checks how resources, systems, or services are being used within an organisation. It involves analysing data to ensure that usage aligns with policies, budgets, or intended outcomes. Usage audits help identify inefficiencies, misuse, or areas where improvements can be made.
Action limits are specific values set during monitoring or testing processes that serve as early warning points. When these limits are reached, it signals that action should be taken to prevent potential problems or non-compliance. Action limits are usually set below regulatory or legal limits to allow time for corrective measures before an actual breach…
Permission Sets are collections of settings that determine what a user can see or do within a software system. They help organisations control access to features, data, and actions based on different roles or responsibilities. By assigning permission sets, administrators can manage security and ensure that users only have access to what they need.
Record collation refers to the process of collecting, organising, and combining multiple records from different sources or formats into a single, unified set. This helps ensure that information is consistent, complete, and easy to access. It is often used in data management, libraries, and business reporting to bring together data that might otherwise be scattered…
Missing fields refer to required pieces of information that are absent in a form, database, or data file. This can cause problems when trying to process, analyse, or display the data, as essential details are missing. Handling missing fields is important to ensure data is accurate, complete, and usable for its intended purpose.
Metadata enrichment is the process of adding extra information to existing data to make it more useful and meaningful. This can include details like keywords, descriptions, categories or links to related content. Enriched metadata helps people and systems find, understand and use the data more easily.
Dataset merge is the process of combining two or more separate data collections into a single, unified dataset. This helps bring together related information from different sources, making it easier to analyse and gain insights. Merging datasets typically involves matching records using one or more common fields, such as IDs or names.
Schema checks are a process used to ensure that data fits a predefined structure or set of rules, known as a schema. This helps confirm that information stored in a database or transferred between systems is complete, accurate, and in the correct format. By using schema checks, organisations can prevent errors and inconsistencies that may…
Version labels are identifiers used to mark specific versions of files, software, or documents. They help track changes over time and make it easy to refer back to previous versions. Version labels often use numbers, letters, or a combination to indicate updates, improvements, or corrections.
Rollback triggers are automated actions set up in a database to undo changes when certain conditions are not met or when errors occur. They help maintain data accuracy by reversing transactions that could cause problems or inconsistencies. Rollback triggers are especially useful in systems where data integrity is critical, such as financial or inventory applications.