Dataketjut

Dataketjut is a Swedish term that translates to "data chains" or "data threads" in English. It refers to a conceptual framework or methodology used to manage and trace the flow of data throughout its lifecycle within an organization or system. This involves understanding where data originates, how it is transformed, who accesses it, and where it is ultimately stored or used. The goal of implementing dataketjut is to improve data governance, enhance data quality, ensure compliance with regulations, and facilitate better decision-making by providing a clear and auditable trail of data.

In practice, dataketjut can involve various techniques and tools. This might include data lineage tracking, metadata management, data cataloging, and robust data security measures. By mapping out these data chains, organizations can identify potential bottlenecks, redundancies, or security vulnerabilities. It also allows for easier impact analysis when changes are made to data systems or processes, as the downstream effects can be more readily understood. The concept is particularly relevant in today's data-intensive environments where the volume, velocity, and variety of data are constantly increasing, making it challenging to maintain control and understanding without a structured approach to data flow.