dimensionsplanung

Dimensionsplanung, also known as dimensional modeling, is a data modeling technique used in data warehousing and business intelligence. It aims to present data in a way that is easy to understand and query for analytical purposes. The core components of dimensionsplanung are fact tables and dimension tables.

Fact tables contain the quantitative measures or metrics that businesses want to analyze, such as sales revenue, units sold, or costs. These tables are typically large and record individual events or transactions. Dimension tables, on the other hand, provide the context for the facts. They describe the "who, what, where, when, why, and how" of the business events recorded in the fact table. Examples of dimensions include customer, product, date, and location.

The structure of dimensionsplanung often follows a star schema or a snowflake schema. A star schema is the simplest form, where a central fact table is directly linked to multiple dimension tables. A snowflake schema is a more normalized version, where dimension tables are further broken down into sub-dimensions. This design optimizes query performance and simplifies data retrieval for business users. The goal is to create a data structure that supports efficient reporting and analysis, enabling businesses to gain insights from their data.