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2. Data modeling - Wikipedia

   en.wikipedia.org/wiki/Data_modeling

   Data models are progressive; there is no such thing as the final data model for a business or application. Instead a data model should be considered a living document that will change in response to a changing business. The data models should ideally be stored in a repository so that they can be retrieved, expanded, and edited over time.

3. Enterprise modelling - Wikipedia

   en.wikipedia.org/wiki/Enterprise_modelling

   Data modelling is a technique for defining business requirements for a database. It is sometimes called database modelling because a data model is eventually implemented in a database. [19] The figure illustrates the way data models are developed and used today. A conceptual data model is developed based on the data requirements for the ...

4. Spreadmart - Wikipedia

   en.wikipedia.org/wiki/Spreadmart

   A spreadmart (spreadsheet data mart) is a business data analysis system running on spreadsheets or other desktop databases that is created and maintained by individuals or groups to perform tasks that can be done in a more structured way by a data mart or data warehouse. [1]

5. Business intelligence - Wikipedia

   en.wikipedia.org/wiki/Business_intelligence

   Generative business intelligence is the application of generative AI techniques, such as large language models, in business intelligence. This combination facilitates data analysis and enables users to interact with data more intuitively, generating actionable insights through natural language queries.

6. Business analytics - Wikipedia

   en.wikipedia.org/wiki/Business_analytics

   Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, [2] and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions.

7. Online analytical processing - Wikipedia

   en.wikipedia.org/wiki/Online_analytical_processing

   By decoupling the data storage from the multi-dimensional model, it is possible to successfully model data that would not otherwise fit into a strict dimensional model. The ROLAP approach can leverage database authorization controls such as row-level security , whereby the query results are filtered depending on preset criteria applied, for ...