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Iterative design is a design methodology based on a cyclic process of prototyping, testing, analyzing, and refining a product or process. Based on the results of testing the most recent iteration of a design, changes and refinements are made.
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
In business intelligence, data classification is "the construction of some kind of a method for making judgments for a continuing sequence of cases, where each new case must be assigned to one of pre-defined classes." [1] Data Classification has close ties to data clustering, but where data clustering is descriptive, data classification is ...
PDCA or plan–do–check–act (sometimes called plan–do–check–adjust) is an iterative design and management method used in business for the control and continual improvement of processes and products. [1] It is also known as the Shewhart cycle, or the control circle/cycle. Another version of this PDCA cycle is OPDCA. [2]
1. Agile: A Flexible, Iterative Process. The truth is, agile project management isn’t a methodology, but a set of principles for developing software. Once you’re on board with these agile ...
Start with the business information that needs to provide context for scope. [11] Iterations should be timed. [11] Stress on data discovery through the requirements and design phases. [11] Use the Agile process of incremental and iterative development and deployment. [11] Validate the BI architecture and get approval on the proof of concept. [11]
The subsequent design phase refines the analysis model and makes the needed technology and other implementation choices. In object-oriented design the emphasis is on describing the various objects, their data, behavior, and interactions. The design model should have all the details required so that programmers can implement the design in code. [4]
The database design documented in these schemas is converted through a Data Definition Language, which can then be used to generate a database. A fully attributed data model contains detailed attributes (descriptions) for every entity within it. The term "database design" can describe many different parts of the design of an overall database ...