Data quality roles refer to the specific responsibilities and job functions focused on ensuring that data within an organisation is accurate, complete, consistent, and reliable. These roles are often part of data management teams and can include data stewards, data quality analysts, data owners, and data custodians. Each role has its own set of tasks,…
Data ownership frameworks are structured sets of rules and guidelines that define who controls, manages, and is responsible for data within an organisation or system. These frameworks outline the rights and obligations of individuals or groups in relation to the data, including who can access, modify, or share it. They help ensure data is handled…
Metadata management in business is the organised process of handling data that describes other data. It helps companies keep track of details like where their information comes from, how it is used, and who can access it. Good metadata management makes it easier to find, understand, and trust business data, supporting better decision-making and compliance…
Information stewardship is the responsible management and protection of data and information resources within an organisation or community. It involves setting rules for how information is collected, stored, shared, and used to ensure its accuracy, privacy, and security. Good information stewardship helps prevent misuse, loss, or unauthorised access to sensitive information.
Master Data Governance is the process of managing and controlling the core business data that is shared across an organisation, such as customer, product, or supplier information. It involves setting rules, responsibilities, and standards to ensure this data is accurate, consistent, and secure. Effective master data governance helps prevent errors, duplicates, and confusion, making business…
Data governance in business refers to the set of rules, processes, and responsibilities that organisations use to manage their data. It ensures that data is accurate, secure, and used properly across the company. Good data governance helps businesses make reliable decisions, comply with regulations, and protect sensitive information.
Root Cause Analysis is a problem-solving method used to identify the main reason why an issue or problem has occurred. Instead of just addressing the symptoms, this approach digs deeper to find the underlying cause, so that effective and lasting solutions can be put in place. It is commonly used in business, engineering, healthcare, and…
Master Data Management, or MDM, is a set of processes and tools that help organisations create a single, consistent view of their key data. This data often includes information about customers, products, suppliers, and employees. By managing this information centrally, companies can reduce errors and make better business decisions. MDM ensures that all departments and…
ETL software helps organisations move data from one place to another by extracting it from source systems, transforming it into a usable format, and loading it into a target system like a database or data warehouse. This process makes sure that the data is clean, organised, and ready for analysis or reporting. ETL tools automate…
Database management is the process of storing, organising, and maintaining data using specialised software called a database management system. It ensures that data is easy to access, update, and protect from loss or unauthorised use. Good database management helps organisations keep their information accurate and available when needed.