Adatkövetelmények

Adatkövetelmények refers to the specific needs and specifications for data within a system or project. It defines what data is required, how it should be structured, its quality attributes, and how it will be used and managed. Understanding and documenting these requirements is a crucial step in data management, software development, and business intelligence.

These requirements typically encompass various aspects. Data content defines the exact information that needs to be captured, such as customer names, product IDs, transaction dates, or sensor readings. Data structure dictates the organization of this information, including the types of data fields, their formats (e.g., text, numbers, dates), and relationships between different data elements, often expressed through schemas or data models.

Data quality is another vital component, specifying the accuracy, completeness, consistency, timeliness, and validity of the data. For instance, an adatkövetelmény might state that all customer email addresses must be in a valid format and free of duplicates. Furthermore, adatkövetelmények address data access and security, outlining who can access what data and under what conditions, as well as data lifecycle management, including how data will be stored, archived, and eventually disposed of.

Properly defined adatkövetelmények ensure that systems are built to effectively collect, process, and utilize data, leading to more reliable analytics, better decision-making, and improved operational efficiency. They serve as a common understanding for all stakeholders involved in a project or system, minimizing misunderstandings and rework.