A Data Fabric Strategy is an approach for managing and integrating data across different systems, locations, and formats within an organisation. It uses a combination of technologies and practices to create a unified data environment, making it easier for users to find, access, and use information. This strategy helps organisations break down data silos and…
Data Mesh implementation is the process of setting up a data management approach where data is handled as a product by individual teams. Instead of a central data team managing everything, each team is responsible for the quality, ownership, and accessibility of their own data. This approach helps large organisations scale their data operations by…
Data lake governance is the set of processes and rules used to manage, organise, and secure the vast amount of data stored in a data lake. It ensures that data is accessible, accurate, and protected, so that organisations can trust and use the information effectively. Good governance also makes it easier to find, understand, and…
A data warehouse strategy is a plan that outlines how an organisation will collect, store, organise and use data from different sources in one central system. It covers decisions about technology, processes, and people needed to turn raw data into useful information for analysis and reporting. A well-designed strategy helps ensure that data is accurate,…
ETL process design refers to the planning and structuring of steps needed to move data from one or more sources into a central data store, like a database or data warehouse. ETL stands for Extract, Transform, Load. First, data is extracted from different sources, then cleaned or changed to fit the required format, and finally…
A data sharing agreement is a formal document that sets out how data will be shared between organisations or individuals. It outlines the rules, responsibilities, and expectations to make sure that data is handled securely and legally. These agreements help protect privacy, clarify what can be done with the data, and specify who is responsible…
A data ethics policy is a set of rules and guidelines that an organisation creates to ensure it handles data responsibly and fairly. It covers how data is collected, stored, used, and shared, focusing on respecting privacy, promoting transparency, and preventing harm. Such a policy helps organisations make decisions about data that are honest and…
A data compliance framework is a structured set of guidelines, processes, and controls that organisations use to ensure they handle data in line with relevant laws and regulations. It helps companies protect personal and sensitive information, manage risks, and avoid legal penalties. By following a data compliance framework, organisations can demonstrate accountability and build trust…
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…